diff --git a/README.md b/README.md index 1f15652d..11141ad5 100644 --- a/README.md +++ b/README.md @@ -81,30 +81,30 @@ Next, build the *scattering theory*. The simplest `scattering_theory` is the `Li from cryojax.image import operators as op # Initialize the scattering theory. First, instantiate fourier slice extraction -projection_method = cxs.FourierSliceExtract(interpolation_order=1) +potential_integrator = cxs.FourierSliceExtraction(interpolation_order=1) # ... next, the contrast transfer theory -transfer_function = cxs.AberratedCTF( - defocus_u_in_angstroms=10000.0, - defocus_v_in_angstroms=9800.0, +ctf = cxs.ContrastTransferFunction( + defocus_in_angstroms=9800.0, + astigmatism_in_angstroms=200.0, astigmatism_angle=10.0, amplitude_contrast_ratio=0.1 ) -transfer_theory = cxs.ContrastTransferTheory(transfer_function, envelope=op.FourierGaussian(b_factor=5.0)) +transfer_theory = cxs.ContrastTransferTheory(ctf, envelope=op.FourierGaussian(b_factor=5.0)) # ... now for the scattering theory -scattering_theory = cxs.LinearScatteringTheory(structural_ensemble, projection_method, transfer_theory) +scattering_theory = cxs.LinearScatteringTheory(structural_ensemble, potential_integrator, transfer_theory) ``` -The `AberratedCTF` has parameters used in CTFFIND4, which take their default values if not -explicitly configured here. Finally, we can instantiate the `pipeline`--the highest level of imaging abstraction in `cryojax`--and simulate an image. Here, we choose a `ContrastImagingPipeline`, which simulates image contrast from a linear scattering theory. +The `ContrastTransferFunction` has parameters used in CTFFIND4, which take their default values if not +explicitly configured here. Finally, we can instantiate the `imaging_pipeline`--the highest level of imaging abstraction in `cryojax`--and simulate an image. Here, we choose a `ContrastImagingPipeline`, which simulates image contrast from a linear scattering theory. ```python # Finally, build the image formation model # ... first instantiate the instrument configuration -config = cxs.InstrumentConfig(shape=(320, 320), pixel_size=voxel_size, voltage_in_kilovolts=300.0) +instrument_config = cxs.InstrumentConfig(shape=(320, 320), pixel_size=voxel_size, voltage_in_kilovolts=300.0) # ... now the imaging pipeline -pipeline = cxs.ContrastImagingPipeline(config, scattering_theory) +imaging_pipeline = cxs.ContrastImagingPipeline(instrument_config, scattering_theory) # ... finally, simulate an image and return in real-space! -image_without_noise = pipeline.render(get_real=True) +image_without_noise = imaging_pipeline.render(get_real=True) ``` `cryojax` also defines a library of distributions from which to sample the data. These distributions define the stochastic model from which images are drawn. For example, instantiate an `IndependentGaussianFourierModes` distribution and either sample from it or compute its log-likelihood. @@ -114,7 +114,7 @@ from cryojax.image import rfftn, operators as op from cryojax.inference import distributions as dist # Passing the ImagePipeline and a variance function, instantiate the distribution -distribution = dist.IndependentGaussianFourierModes(pipeline, variance=op.Constant(1.0)) +distribution = dist.IndependentGaussianFourierModes(imaging_pipeline, variance_function=op.Constant(1.0)) # ... then, either simulate an image from this distribution key = jax.random.PRNGKey(seed=0) image_with_noise = distribution.sample(key) diff --git a/docs/examples/read-dataset.ipynb b/docs/examples/read-dataset.ipynb index 49aa9791..954b8d5e 100644 --- a/docs/examples/read-dataset.ipynb +++ b/docs/examples/read-dataset.ipynb @@ -63,7 +63,7 @@ " RELION STAR file for a particle stack. Upon accessing an image in the particle stack, a `RelionParticleStack`\n", " is returned. Specifically, the `RelionParticleStack` stores the image(s) in the image stack, as well as the metadata\n", " in the STAR file. The metadata is used to instantiate compatible `cryojax` objects. For example, the `RelionParticleStack`\n", - " stores a `cryojax` models for the contrast transfer function (the `AberratedCTF` class) and the pose (the `EulerAnglePose` class).\n", + " stores a `cryojax` models for the contrast transfer function (the `ContrastTransferFunction` class) and the pose (the `EulerAnglePose` class).\n", "\n", " More generally, a `RelionDataset` is an `AbstractDataset`, which is complemented by the abstraction of a particle stack: the `AbstractParticleStack`.\n", " These abstract interfaces are part of the `cryojax` public API! " @@ -80,7 +80,7 @@ "text": [ "RelionParticleStack(\n", " image_stack=f32[100,100],\n", - " config=InstrumentConfig(\n", + " instrument_config=InstrumentConfig(\n", " shape=(100, 100),\n", " pixel_size=f32[],\n", " voltage_in_kilovolts=f32[],\n", @@ -96,9 +96,9 @@ " view_theta=f32[],\n", " view_psi=f32[]\n", " ),\n", - " transfer_function=AberratedCTF(\n", - " defocus_u_in_angstroms=f32[],\n", - " defocus_v_in_angstroms=f32[],\n", + " ctf=ContrastTransferFunction(\n", + " defocus_in_angstroms=f32[],\n", + " astigmatism_in_angstroms=f32[],\n", " astigmatism_angle=f32[],\n", " voltage_in_kilovolts=300.0,\n", " spherical_aberration_in_mm=f32[],\n", @@ -136,12 +136,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Image mean: -6.1035155e-09 Image standard deviation: 0.99999994\n" + "Image mean: -1.373291e-08 Image standard deviation: 1.0000002\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -198,7 +198,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now, we see that the `image_stack` attribute has a leading dimension for each image. We can also inspect the metadata read from the STAR file by printing the `AberratedCTF`." + "Now, we see that the `image_stack` attribute has a leading dimension for each image. We can also inspect the metadata read from the STAR file by printing the `ContrastTransferFunction`." ] }, { @@ -210,9 +210,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "AberratedCTF(\n", - " defocus_u_in_angstroms=Array([10050.97, 10050.97, 10050.97], dtype=float32),\n", - " defocus_v_in_angstroms=Array([9999.999, 9999.999, 9999.999], dtype=float32),\n", + "ContrastTransferFunction(\n", + " defocus_in_angstroms=Array([10050.97, 10050.97, 10050.97], dtype=float32),\n", + " astigmatism_in_angstroms=Array([-50.970703, -50.970703, -50.970703], dtype=float32),\n", " astigmatism_angle=Array([-54.58706, -54.58706, -54.58706], dtype=float32),\n", " voltage_in_kilovolts=300.0,\n", " spherical_aberration_in_mm=Array(2.7, dtype=float32),\n", @@ -224,14 +224,14 @@ ], "source": [ "# Inspect the CTF\n", - "eqx.tree_pprint(relion_particles.transfer_function, short_arrays=False)" + "eqx.tree_pprint(relion_particles.ctf, short_arrays=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Notice that not all attributes of the `CTF` have a leading dimension. For those familiar with RELION STAR format, only the `CTF` parameters stored on a per-particle basis have a leading dimension! Parameters stored in the opticsGroup do not have a leading dimension." + "Notice that not all attributes of the `ContrastTransferFunction` have a leading dimension. For those familiar with RELION STAR format, only the `ContrastTransferFunction` parameters stored on a per-particle basis have a leading dimension! Parameters stored in the opticsGroup do not have a leading dimension." ] }, { @@ -241,7 +241,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -273,7 +273,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -291,14 +291,12 @@ "# ... and the image in fourier space\n", "fourier_image = rfftn(relion_particle.image_stack)\n", "# ... and the cartesian coordinate system\n", - "pixel_size = relion_particle.config.pixel_size\n", + "pixel_size = relion_particle.instrument_config.pixel_size\n", "frequency_grid_in_angstroms = (\n", - " relion_particle.config.wrapped_frequency_grid_in_angstroms.get()\n", + " relion_particle.instrument_config.wrapped_frequency_grid_in_angstroms.get()\n", ")\n", "# ... now, compute a radial coordinate system\n", - "radial_frequency_grid_in_angstroms = jnp.linalg.norm(\n", - " frequency_grid_in_angstroms, axis=-1\n", - ")\n", + "radial_frequency_grid_in_angstroms = jnp.linalg.norm(frequency_grid_in_angstroms, axis=-1)\n", "# ... plot the image in fourier space and the radial frequency grid\n", "fig, axes = plt.subplots(figsize=(5, 4), ncols=2)\n", "plot_image(\n", @@ -342,7 +340,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -358,7 +356,7 @@ "\n", "\n", "fig, ax = plt.subplots(figsize=(4, 4))\n", - "N_pixels = math.prod(relion_particle.config.shape)\n", + "N_pixels = math.prod(relion_particle.instrument_config.shape)\n", "spectrum, wavenumbers = powerspectrum(\n", " fourier_image,\n", " radial_frequency_grid_in_angstroms,\n", @@ -385,7 +383,7 @@ "kernelspec": { "display_name": "cryojax", "language": "python", - "name": "cryojax" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -397,7 +395,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/examples/simulate-image.ipynb b/docs/examples/simulate-image.ipynb index 3b2e68d1..0ee63ba1 100644 --- a/docs/examples/simulate-image.ipynb +++ b/docs/examples/simulate-image.ipynb @@ -99,7 +99,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next, build the *scattering theory*. The simplest `theory` is the `LinearScatteringTheory`. This represents the usual image formation pipeline in cryo-EM, which forms images by computing projections of the potential and convolving the result with a contrast transfer function." + "Next, build the *scattering theory*. The simplest `scattering_theory` is the `LinearScatteringTheory`. This represents the usual image formation pipeline in cryo-EM, which forms images by integrating the potential and convolving the result with a contrast transfer function." ] }, { @@ -112,26 +112,24 @@ "\n", "\n", "# Initialize the scattering theory. First, instantiate fourier slice extraction\n", - "projection_method = cxs.FourierSliceExtract(interpolation_order=1)\n", + "potential_integrator = cxs.FourierSliceExtraction(interpolation_order=1)\n", "# ... next, the contrast transfer theory\n", - "ctf = cxs.AberratedCTF(\n", - " defocus_u_in_angstroms=10000.0,\n", - " defocus_v_in_angstroms=9800.0,\n", + "ctf = cxs.ContrastTransferFunction(\n", + " defocus_in_angstroms=10000.0,\n", + " astigmatism_in_angstroms=-200.0,\n", " astigmatism_angle=10.0,\n", " amplitude_contrast_ratio=0.1,\n", ")\n", "transfer_theory = cxs.ContrastTransferTheory(\n", " ctf, envelope=op.FourierGaussian(b_factor=5.0)\n", ")\n", - "# ... add a colored noise model for the solvent\n", + "# ... add a non-white noise model for the solvent\n", "solvent = cxs.GaussianIce(\n", - " variance=op.FourierExp2D(\n", - " amplitude=0.005**2, length_scale=2.0 * potential.voxel_size\n", - " )\n", + " variance=op.Lorenzian(amplitude=0.005**2, length_scale=2.0 * potential.voxel_size)\n", ")\n", "# ... now for the scattering theory\n", "scattering_theory = cxs.LinearScatteringTheory(\n", - " structural_ensemble, projection_method, transfer_theory, solvent\n", + " structural_ensemble, potential_integrator, transfer_theory, solvent\n", ")" ] }, @@ -139,7 +137,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Finally, we create an `ImageConfig` and initialize our `ImagePipeline`." + "Finally, we create an `InstrumentConfig` and initialize our `AbstractImagingPipeline`. Here, we select the `ContrastImagingPipeline`, which simulates the image contrast given a `scattering_theory`." ] }, { @@ -149,24 +147,21 @@ "outputs": [], "source": [ "# Create the instrument configuration\n", - "config = cxs.InstrumentConfig(\n", + "instrument_config = cxs.InstrumentConfig(\n", " shape=(80, 80),\n", " pixel_size=potential.voxel_size,\n", " voltage_in_kilovolts=300.0,\n", " padded_shape=potential.shape[:2],\n", ")\n", "# ... now, build the image formation model\n", - "pipeline = cxs.ContrastImagingPipeline(\n", - " config=config,\n", - " scattering_theory=scattering_theory,\n", - ")" + "imaging_pipeline = cxs.ContrastImagingPipeline(instrument_config, scattering_theory)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Before proceeding, we must create jit-compiled functions that simulate our images. We can either simulate the model without noise by calling the `pipeline.render()` function, or we can simulate an image with noise by calling the `pipeline.sample(key)` function, where `key` is a random number generator key." + "Before proceeding, we must create jit-compiled functions that simulate our images. We can either simulate the model without noise by calling the `imaging_pipeline.render()` function, or we can simulate an image with noise by calling the `imaging_pipeline.sample(key)` function, where `key` is a random number generator key." ] }, { @@ -180,15 +175,15 @@ "\n", "\n", "@eqx.filter_jit\n", - "def compute_image(pipeline: cxs.AbstractImagingPipeline):\n", - " \"\"\"Simulate an image without noise from a `pipeline`.\"\"\"\n", - " return pipeline.render()\n", + "def compute_image(imaging_pipeline: cxs.AbstractImagingPipeline):\n", + " \"\"\"Simulate an image without noise from a `imaging_pipeline`.\"\"\"\n", + " return imaging_pipeline.render()\n", "\n", "\n", "@eqx.filter_jit\n", - "def compute_noisy_image(pipeline: cxs.AbstractImagingPipeline, key: PRNGKeyArray):\n", - " \"\"\"Simulate an image with noise from a `pipeline`.\"\"\"\n", - " return pipeline.sample(key)" + "def compute_noisy_image(imaging_pipeline: cxs.AbstractImagingPipeline, key: PRNGKeyArray):\n", + " \"\"\"Simulate an image with noise from a `imaging_pipeline`.\"\"\"\n", + " return imaging_pipeline.sample(key)" ] }, { @@ -197,7 +192,7 @@ "source": [ "**What's with the eqx.filter_jit?**\n", "\n", - "This is an example of an equinox *filtered transformation*. In this case, the `eqx.filter_jit` decorator is a lightweight wrapper around `jax.jit` that treats all of the `pipeline`'s JAX arrays as traced at compile time, and all of its non-JAX arrays as static. Alternatively, we could have used the usual `jax.jit` decorator and explicitly passed traced and static pytrees to our function. It is completely optional to use `equinox` decorators.\n", + "This is an example of an equinox *filtered transformation*. In this case, the `eqx.filter_jit` decorator is a lightweight wrapper around `jax.jit` that treats all of the `imaging_pipeline`'s JAX arrays as traced at compile time, and all of its non-JAX arrays as static. Alternatively, we could have used the usual `jax.jit` decorator and explicitly passed traced and static pytrees to our function. It is completely optional to use `equinox` decorators.\n", "\n", "Filtered transformations are a cornerstone to `equinox` and it is highly recommended to learn about them. See [here](https://docs.kidger.site/equinox/all-of-equinox/#2-filtering) in the equinox documentation for an introduction." ] @@ -209,7 +204,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -224,13 +219,13 @@ "fig, axes = plt.subplots(ncols=2, figsize=(7, 4))\n", "ax1, ax2 = axes\n", "im1 = plot_image(\n", - " compute_image(pipeline),\n", + " compute_image(imaging_pipeline),\n", " fig,\n", " ax1,\n", " label=\"Image contrast\",\n", ")\n", "im2 = plot_image(\n", - " compute_noisy_image(pipeline, key),\n", + " compute_noisy_image(imaging_pipeline, key),\n", " fig,\n", " ax2,\n", " label=\"Image contrast with solvent noise\",\n", @@ -242,7 +237,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note that the `compute_noisy_image` function draws an image from the noise models contained in the image formation pipeline. These noise models are meant to be physical noise models, so in theory, these do not need to cleanly correspond to sampling from a particular statistical distribution. Alternatively, the user can simulate an image with a *distribution* from the `cryojax.inference.distributions` module." + "Note that the `compute_noisy_image` function draws an image from the noise models contained in the image formation `imaging_pipeline`. These noise models are meant to be physical noise models, so in theory, these do not need to cleanly correspond to sampling from a particular statistical distribution. Alternatively, the user can simulate an image from a specific distribution from the `cryojax.inference.distributions` module. In this example, we use the `IndependentGaussianFourierModes` distribution, which simulates images from an arbitrary noise power spectrum." ] }, { @@ -252,7 +247,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -262,13 +257,15 @@ } ], "source": [ + "import jax.numpy as jnp\n", + "\n", "from cryojax.image import operators as op\n", "from cryojax.inference import distributions as dist\n", "\n", "\n", "@eqx.filter_jit\n", "def compute_image_with_distribution(distribution: dist.AbstractDistribution):\n", - " \"\"\"Simulate an image with noise from a `pipeline`.\"\"\"\n", + " \"\"\"Simulate an image with noise from a `imaging_pipeline`.\"\"\"\n", " return distribution.render()\n", "\n", "\n", @@ -276,13 +273,15 @@ "def compute_noisy_image_with_distribution(\n", " distribution: dist.AbstractDistribution, key: PRNGKeyArray\n", "):\n", - " \"\"\"Simulate an image with noise from a `pipeline`.\"\"\"\n", + " \"\"\"Simulate an image with noise from a `imaging_pipeline`.\"\"\"\n", " return distribution.sample(key)\n", "\n", "\n", "# Passing the ImagePipeline and a variance function, instantiate the distribution\n", "distribution = dist.IndependentGaussianFourierModes(\n", - " pipeline, contrast_scale=1.0, variance=op.Constant(1.0)\n", + " imaging_pipeline,\n", + " signal_scale_factor=jnp.sqrt(instrument_config.n_pixels),\n", + " variance_function=op.Constant(1.0),\n", ")\n", "# ... then, either simulate an image from this distribution\n", "key = jax.random.PRNGKey(seed=0)\n", @@ -308,7 +307,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here, we can directly control image SNR through the parameters `distribution.contrast_scale` (the standard deviation of the underlying signal) and `distribution.variance` (the variance of the gaussian noise). Note that when each are set to 1, like here, both images are returned to be mean zero and standard deviation one." + "Here, we can directly control image SNR through the parameters `distribution.contrast_scale` (a phenomenological scale factor for the underlying signal) and `distribution.variance_function` (a function that computes the variance, or power spectrum, of the gaussian noise).\n", + "\n", + "Notice that in order to simulate the image with additive white noise, we chose the power spectrum to be a constant. In particular, we set `variance_function = op.Constant(1.0)`. We can instead use the `cryojax.image.operators` module to build a more complex power spectrum. In this example, we choose the variance to be a lorenzian envelope modulated by the CTF, plus additive white noise." ] }, { @@ -317,18 +318,37 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Image mean: -3.8146972e-08\n", - "Image standard deviation: 1.0\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "image = compute_image_with_distribution(distribution)\n", - "print(\"Image mean:\", image.mean())\n", - "print(\"Image standard deviation:\", image.std())" + "variance_function = op.Constant(0.75) + ctf * ctf * op.Lorenzian(\n", + " amplitude=5.0, length_scale=instrument_config.pixel_size * 3.0\n", + ")\n", + "# Passing the ImagePipeline and a variance function, instantiate the distribution\n", + "non_white_noise_distribution = dist.IndependentGaussianFourierModes(\n", + " imaging_pipeline,\n", + " signal_scale_factor=jnp.sqrt(instrument_config.n_pixels),\n", + " variance_function=variance_function,\n", + ")\n", + "# ... then, either simulate an image from this distribution\n", + "key = jax.random.PRNGKey(seed=0)\n", + "\n", + "fig, ax = plt.subplots(figsize=(4, 4))\n", + "im = plot_image(\n", + " compute_noisy_image_with_distribution(non_white_noise_distribution, key),\n", + " fig,\n", + " ax,\n", + " label=\"Image with additive gaussian noise of \\n arbitrary power spectrum\",\n", + ")\n", + "plt.tight_layout()" ] } ], @@ -336,7 +356,7 @@ "kernelspec": { "display_name": "cryojax", "language": "python", - "name": "cryojax" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -348,7 +368,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/examples/simulate-micrograph.ipynb b/docs/examples/simulate-micrograph.ipynb index 75902d7b..96274cbc 100644 --- a/docs/examples/simulate-micrograph.ipynb +++ b/docs/examples/simulate-micrograph.ipynb @@ -78,19 +78,21 @@ " real_voxel_grid, voxel_size, pad_scale=2\n", ")\n", "# ... now the projection method\n", - "projection_method = cxs.FourierSliceExtract(interpolation_order=1)\n", + "potential_integrator = cxs.FourierSliceExtraction(interpolation_order=1)\n", "# ... and the contrast transfer theory\n", "transfer_theory = cxs.ContrastTransferTheory(\n", - " transfer_function=cxs.AberratedCTF(\n", - " defocus_u_in_angstroms=10000.0,\n", - " defocus_v_in_angstroms=10000.0,\n", + " ctf=cxs.ContrastTransferFunction(\n", + " defocus_in_angstroms=10000.0,\n", + " astigmatism_in_angstroms=0.0,\n", " )\n", ")\n", - "# ... finally, the config\n", + "# ... finally, the instrument_config\n", "shape = (400, 600)\n", "pixel_size = potential.voxel_size # Angstroms\n", "voltage_in_kilovolts = 300.0\n", - "config = cxs.InstrumentConfig(shape, pixel_size, voltage_in_kilovolts, pad_scale=1.1)\n", + "instrument_config = cxs.InstrumentConfig(\n", + " shape, pixel_size, voltage_in_kilovolts, pad_scale=1.1\n", + ")\n", "image_size = np.asarray(shape) * pixel_size" ] }, @@ -98,7 +100,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now we will construct an `ImagePipeline` by batching over a set of random number generator keys." + "Now we will construct a `ContrastImagingPipeline` by batching over a set of random number generator keys." ] }, { @@ -115,10 +117,10 @@ "\n", "\n", "@partial(eqx.filter_vmap, in_axes=(0, None), out_axes=eqxi.if_mapped(axis=0))\n", - "def make_pipeline(\n", + "def make_imaging_pipeline(\n", " key: PRNGKeyArray, no_vmap: tuple[PyTree, ...]\n", ") -> cxs.ContrastImagingPipeline:\n", - " config, potential, projection_method = no_vmap\n", + " config, potential, potential_integrator = no_vmap\n", " # ... instantiate rotations\n", " rotation = SO3.sample_uniform(key)\n", " # ... now in-plane translation\n", @@ -132,14 +134,12 @@ " # zero\n", " offset_in_angstroms = jnp.pad(in_plane_offset_in_angstroms, ((0, 1),))\n", " # ... build the pose\n", - " pose = cxs.QuaternionPose.from_rotation_and_translation(\n", - " rotation, offset_in_angstroms\n", - " )\n", + " pose = cxs.QuaternionPose.from_rotation_and_translation(rotation, offset_in_angstroms)\n", " # ... build the ensemble\n", " structural_ensemble = cxs.SingleStructureEnsemble(potential, pose)\n", " # ... and finally the scattering theory and return\n", " theory = cxs.LinearScatteringTheory(\n", - " structural_ensemble, projection_method, transfer_theory\n", + " structural_ensemble, potential_integrator, transfer_theory\n", " )\n", " return cxs.ContrastImagingPipeline(config, theory)" ] @@ -153,7 +153,7 @@ " When we create a pytree with `eqx.filter_vmap` (or `jax.vmap`), `out_axes` should have the same structure as the output pytree. If `out_axes` is set to `None` at a particular leaf, this\n", " says that we do not want to broadcast that leaf (of course, this only works for unmapped leaves). By default `jax.vmap` sets `out_axes=0`, so all unmapped leaves get broadcasted. `equinox` allows us to pass `out_axes=eqxi.if_mapped(axes=0)`, which specifies *not* to broadcast pytree leaves unless the leaves are directly mapped.\n", "\n", - " When building an `ImagePipeline`, it is very important that we do not broadcast arbitrary leaves! For example, an `ImageConfig` stores the coordinate systems for our image. Without the `out_axes=eqxi.if_mapped(axes=0)` specification, the `make_pipeline` would output an `ImagePipeline.config` whose coordinate systems have a batch dimension. This takes up unecessary memory." + " When building a `ContrastImagingPipeline`, it is very important that we do not broadcast arbitrary leaves! For example, an `InstrumentConfig` stores the coordinate systems for our image. Without the `out_axes=eqxi.if_mapped(axes=0)` specification, the `make_imaging_pipeline` would output an `ContrastImagingPipeline.instrument_config` whose coordinate systems have a batch dimension. This takes up unecessary memory." ] }, { @@ -166,17 +166,19 @@ "number_of_poses = 20\n", "keys = jax.random.split(jax.random.PRNGKey(12345), number_of_poses)\n", "\n", - "# ... instantiate the pipeline\n", - "pipeline = make_pipeline(keys, (config, potential, projection_method))" + "# ... instantiate the instrument_pipeline\n", + "imaging_pipeline = make_imaging_pipeline(\n", + " keys, (instrument_config, potential, potential_integrator)\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This may be a little odd at first. We have contructed a pipeline, where if we were to directly call its `render` method, it would not work. Think of it this way: because we created our `pipeline`s with a `vmap`, functions can now only be called after crossing `vmap` boundaries. There is very good reason for this! To learn more, read the section of the equinox documentation on [model ensembling](https://docs.kidger.site/equinox/tricks/#ensembling).\n", + "This may be a little odd at first. We have contructed an `imaging_pipeline`, where if we were to directly call its `render` method, it would not work. Think of it this way: because we created our `imaging_pipeline`s with a `vmap`, functions can now only be called after crossing `vmap` boundaries. There is very good reason for this! To learn more, read the section of the equinox documentation on [model ensembling](https://docs.kidger.site/equinox/tricks/#ensembling).\n", "\n", - "Now that we have an `ImagePipeline` with a batched set of poses, we need some way of telling our `vmap` exactly what pytree leaves have batch dimensions. One way `equinox` does this is by using pointers to particular pytree leaves to create what is called a `filter_spec`." + "Now that we have a `ContrastImagingPipeline` with a batched set of poses, we need some way of telling our `vmap` exactly what pytree leaves have batch dimensions. One way `equinox` does this is by using pointers to particular pytree leaves to create what is called a `filter_spec`." ] }, { @@ -189,16 +191,16 @@ "\n", "\n", "# ... specify which leaves we would like to vmap over\n", - "where = lambda pipeline: pipeline.scattering_theory.structural_ensemble.pose\n", + "where = lambda p: p.scattering_theory.structural_ensemble.pose\n", "# ... use a cryojax wrapper to return a filter_spec\n", - "filter_spec = cx.get_filter_spec(pipeline, where)" + "filter_spec = cx.get_filter_spec(imaging_pipeline, where)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Here, `filter_spec` is a pytree of booleans of the same structure as `pipeline`. The values are `True` at leaves that we do want to `vmap` over and `False` where we don't. Filtered transformations are a cornerstone to `equinox` and it is highly recommended to learn about them. See [here](https://docs.kidger.site/equinox/examples/frozen_layer/) in the equinox documentation for reading.\n", + "Here, `filter_spec` is a pytree of booleans of the same structure as `imaging_pipeline`. The values are `True` at leaves that we do want to `vmap` over and `False` where we don't. Filtered transformations are a cornerstone to `equinox` and it is highly recommended to learn about them. See [here](https://docs.kidger.site/equinox/examples/frozen_layer/) in the equinox documentation for reading.\n", "\n", "Above we have used a `cryojax` utility routine for creating a `filter_spec`, called `cryojax.get_filter_spec`. Next, we will finally define functions to batch and sum over images! To do this, we will again use a `cryojax` wrapper to `equinox` called `filter_vmap_with_spec`. This batches over a pytree, only at leaves specified by `filter_spec`. " ] @@ -213,17 +215,17 @@ "\n", "\n", "@partial(cx.filter_vmap_with_spec, filter_spec=filter_spec)\n", - "def compute_image_stack(pipeline):\n", + "def compute_image_stack(imaging_pipeline):\n", " \"\"\"Compute a batch of images at different poses,\n", " specified by the `filter_spec`.\n", " \"\"\"\n", - " return pipeline.render()\n", + " return imaging_pipeline.render()\n", "\n", "\n", "@eqx.filter_jit\n", - "def compute_micrograph(pipeline):\n", + "def compute_micrograph(imaging_pipeline):\n", " \"\"\"Sum together the image stack.\"\"\"\n", - " return jnp.sum(compute_image_stack(pipeline), axis=0)" + " return jnp.sum(compute_image_stack(imaging_pipeline), axis=0)" ] }, { @@ -244,7 +246,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -256,7 +258,7 @@ "source": [ "# Compute the image and plot\n", "fig, ax = plt.subplots(figsize=(5.5, 5.5))\n", - "micrograph = compute_micrograph(pipeline)\n", + "micrograph = compute_micrograph(imaging_pipeline)\n", "plot_image(\n", " micrograph,\n", " fig,\n", @@ -282,7 +284,7 @@ "kernelspec": { "display_name": "cryojax", "language": "python", - "name": "cryojax" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -294,7 +296,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/index.md b/docs/index.md index 2da33929..d5433020 100644 --- a/docs/index.md +++ b/docs/index.md @@ -74,30 +74,30 @@ Next, build the *scattering theory*. The simplest `scattering_theory` is the `Li from cryojax.image import operators as op # Initialize the scattering theory. First, instantiate fourier slice extraction -projection_method = cxs.FourierSliceExtract(interpolation_order=1) +potential_integrator = cxs.FourierSliceExtraction(interpolation_order=1) # ... next, the contrast transfer theory -transfer_function = cxs.AberratedCTF( - defocus_u_in_angstroms=10000.0, - defocus_v_in_angstroms=9800.0, +ctf = cxs.ContrastTransferFunction( + defocus_in_angstroms=9800.0, + astigmatism_in_angstroms=200.0, astigmatism_angle=10.0, amplitude_contrast_ratio=0.1 ) -transfer_theory = cxs.ContrastTransferTheory(transfer_function, envelope=op.FourierGaussian(b_factor=5.0)) +transfer_theory = cxs.ContrastTransferTheory(ctf, envelope=op.FourierGaussian(b_factor=5.0)) # ... now for the scattering theory -scattering_theory = cxs.LinearScatteringTheory(structural_ensemble, projection_method, transfer_theory) +scattering_theory = cxs.LinearScatteringTheory(structural_ensemble, potential_integrator, transfer_theory) ``` -The `AberratedCTF` has parameters used in CTFFIND4, which take their default values if not -explicitly configured here. Finally, we can instantiate the `pipeline`--the highest level of imaging abstraction in `cryojax`--and simulate an image. Here, we choose a `ContrastImagingPipeline`, which simulates image contrast from a linear scattering theory. +The `ContrastTransferFunction` has parameters used in CTFFIND4, which take their default values if not +explicitly configured here. Finally, we can instantiate the `imaging_pipeline`--the highest level of imaging abstraction in `cryojax`--and simulate an image. Here, we choose a `ContrastImagingPipeline`, which simulates image contrast from a linear scattering theory. ```python # Finally, build the image formation model # ... first instantiate the instrument configuration -config = cxs.InstrumentConfig(shape=(320, 320), pixel_size=voxel_size, voltage_in_kilovolts=300.0) +instrument_config = cxs.InstrumentConfig(shape=(320, 320), pixel_size=voxel_size, voltage_in_kilovolts=300.0) # ... now the imaging pipeline -pipeline = cxs.ContrastImagingPipeline(config, scattering_theory) +imaging_pipeline = cxs.ContrastImagingPipeline(instrument_config, scattering_theory) # ... finally, simulate an image and return in real-space! -image_contrast = pipeline.render(get_real=True) +image_without_noise = imaging_pipeline.render(get_real=True) ``` ## Next steps diff --git a/pyproject.toml b/pyproject.toml index 4e9bb414..ded864d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -46,6 +46,7 @@ version-file = "src/cryojax/cryojax_version.py" [tool.ruff] extend-include = ["*.ipynb"] lint.fixable = ["I001", "F401"] +line-length = 90 lint.ignore = ["E402", "E721", "E731", "E741", "F722"] lint.ignore-init-module-imports = true lint.select = ["E", "F", "I001"] @@ -57,6 +58,9 @@ extra-standard-library = ["typing_extensions"] lines-after-imports = 2 order-by-type = false +[tool.black] +line-length = 90 + [tool.pyright] reportIncompatibleMethodOverride = true reportIncompatibleVariableOverride = false # Incompatible with eqx.AbstractVar diff --git a/src/cryojax/coordinates/_coordinate_functions.py b/src/cryojax/coordinates/_coordinate_functions.py index 5846a0c2..6aab214b 100644 --- a/src/cryojax/coordinates/_coordinate_functions.py +++ b/src/cryojax/coordinates/_coordinate_functions.py @@ -143,9 +143,7 @@ def _make_coordinates_or_frequencies_1d( ) -> Float[Array, " size"]: """One-dimensional coordinates in real or fourier space""" if real_space: - make_1d = ( - lambda size, dx: jnp.fft.fftshift(jnp.fft.fftfreq(size, 1 / dx)) * size - ) + make_1d = lambda size, dx: jnp.fft.fftshift(jnp.fft.fftfreq(size, 1 / dx)) * size else: if rfftfreq is None: raise ValueError("Argument rfftfreq cannot be None if real_space=False.") diff --git a/src/cryojax/coordinates/_coordinate_wrappers.py b/src/cryojax/coordinates/_coordinate_wrappers.py index 55d90486..6a197001 100644 --- a/src/cryojax/coordinates/_coordinate_wrappers.py +++ b/src/cryojax/coordinates/_coordinate_wrappers.py @@ -63,9 +63,7 @@ class CoordinateList(AbstractCoordinates, strict=True): converter=jnp.asarray ) - def __init__( - self, coordinate_list: Float[Array, "size 2"] | Float[Array, "size 3"] - ): + def __init__(self, coordinate_list: Float[Array, "size 2"] | Float[Array, "size 3"]): self.array = coordinate_list def get(self) -> Float[Array, "size 3"] | Float[Array, "size 2"]: diff --git a/src/cryojax/data/_relion.py b/src/cryojax/data/_relion.py index 8a9599a7..22c8426d 100644 --- a/src/cryojax/data/_relion.py +++ b/src/cryojax/data/_relion.py @@ -11,7 +11,7 @@ import pandas as pd from jaxtyping import Array, Float, Int -from ..simulator import AberratedCTF, EulerAnglePose, InstrumentConfig +from ..simulator import ContrastTransferFunction, EulerAnglePose, InstrumentConfig from ._dataset import AbstractDataset from ._io import read_and_validate_starfile from ._particle_stack import AbstractParticleStack @@ -39,28 +39,25 @@ class RelionParticleStack(AbstractParticleStack): """ image_stack: Float[Array, "... y_dim x_dim"] - config: InstrumentConfig + instrument_config: InstrumentConfig pose: EulerAnglePose - transfer_function: AberratedCTF + ctf: ContrastTransferFunction def __init__( self, image_stack: Float[Array, "... y_dim x_dim"], - config: InstrumentConfig, + instrument_config: InstrumentConfig, pose: EulerAnglePose, - transfer_function: AberratedCTF, + ctf: ContrastTransferFunction, ): # Set image stack and config as is self.image_stack = jnp.asarray(image_stack) - self.config = config + self.instrument_config = instrument_config # Set CTF using the defocus offset in the EulerAnglePose - self.transfer_function = eqx.tree_at( - lambda tf: (tf.defocus_u_in_angstroms, tf.defocus_v_in_angstroms), - transfer_function, - ( - transfer_function.defocus_u_in_angstroms + pose.offset_z_in_angstroms, - transfer_function.defocus_v_in_angstroms + pose.offset_z_in_angstroms, - ), + self.ctf = eqx.tree_at( + lambda tf: tf.defocus_in_angstroms, + ctf, + ctf.defocus_in_angstroms + pose.offset_z_in_angstroms, ) # Set defocus offset to zero self.pose = eqx.tree_at( @@ -73,20 +70,19 @@ def __init__( - `image_stack`: The stack of images. The shape of this array is a leading batch dimension followed by the shape of an image in the stack. -- `config`: The instrument configuration. Any subset of pytree leaves may +- `instrument_config`: The instrument configuration. Any subset of pytree leaves may have a batch dimension. - `pose`: The pose, represented by euler angles. Any subset of pytree leaves may have a batch dimension. Upon instantiation, `pose.offset_z_in_angstroms` is set to zero. -- `transfer_function`: The contrast transfer function. Any subset of pytree leaves may +- `ctf`: The contrast transfer function. Any subset of pytree leaves may have a batch dimension. Upon instantiation, - `transfer_function.defocus_u_in_angstroms` is set to - `transfer_function.defocus_u_in_angstroms + pose.offset_z_in_angstroms` (and - also for `transfer_function.defocus_v_in_angstroms`). + `ctf.defocus_in_angstroms` is set to + `ctf.defocus_in_angstroms + pose.offset_z_in_angstroms`. """ # noqa: E501 -def _default_make_config_fn( +def _default_make_instrument_config_fn( shape: tuple[int, int], pixel_size: Float[Array, ""], voltage_in_kilovolts: Float[Array, ""], @@ -104,7 +100,7 @@ class RelionDataset(AbstractDataset): path_to_relion_project: pathlib.Path data_blocks: dict[str, pd.DataFrame] - make_config_fn: Callable[ + make_instrument_config_fn: Callable[ [tuple[int, int], Float[Array, "..."], Float[Array, "..."]], InstrumentConfig ] @@ -113,10 +109,10 @@ def __init__( self, path_to_starfile: str | pathlib.Path, path_to_relion_project: str | pathlib.Path, - make_config_fn: Callable[ + make_instrument_config_fn: Callable[ [tuple[int, int], Float[Array, "..."], Float[Array, "..."]], InstrumentConfig, - ] = _default_make_config_fn, + ] = _default_make_instrument_config_fn, ): """**Arguments:** @@ -129,7 +125,7 @@ def __init__( object.__setattr__( self, "path_to_relion_project", pathlib.Path(path_to_relion_project) ) - object.__setattr__(self, "make_config_fn", make_config_fn) + object.__setattr__(self, "make_instrument_config_fn", make_instrument_config_fn) @final def __getitem__( @@ -216,9 +212,7 @@ def __getitem__( np.asarray(image_stack_filename, dtype=object)[0], ) # ... relion convention starts indexing at 1, not 0 - particle_index = ( - np.asarray(relion_particle_index.astype(int), dtype=int) - 1 - ) + particle_index = np.asarray(relion_particle_index.astype(int), dtype=int) - 1 else: raise IOError( "Could not read `rlnImageName` in STAR file for `RelionDataset` " @@ -228,8 +222,10 @@ def __getitem__( image_stack = np.asarray(mrc.data[particle_index]) # type: ignore # Read metadata into a RelionParticleStack # ... particle data - defocus_u_in_angstroms = jnp.asarray(particle_blocks["rlnDefocusU"]) - defocus_v_in_angstroms = jnp.asarray(particle_blocks["rlnDefocusV"]) + defocus_in_angstroms = jnp.asarray(particle_blocks["rlnDefocusU"]) + astigmatism_in_angstroms = jnp.asarray( + particle_blocks["rlnDefocusV"] + ) - jnp.asarray(particle_blocks["rlnDefocusU"]) astigmatism_angle = jnp.asarray(particle_blocks["rlnDefocusAngle"]) phase_shift = jnp.asarray(particle_blocks["rlnPhaseShift"]) # ... optics group data @@ -239,14 +235,14 @@ def __getitem__( spherical_aberration_in_mm = jnp.asarray(optics_group["rlnSphericalAberration"]) amplitude_contrast_ratio = jnp.asarray(optics_group["rlnAmplitudeContrast"]) # ... create cryojax objects - config = self.make_config_fn( + instrument_config = self.make_instrument_config_fn( (int(image_size), int(image_size)), pixel_size, jnp.asarray(voltage_in_kilovolts), ) - transfer_function = AberratedCTF( - defocus_u_in_angstroms=defocus_u_in_angstroms, - defocus_v_in_angstroms=defocus_v_in_angstroms, + ctf = ContrastTransferFunction( + defocus_in_angstroms=defocus_in_angstroms, + astigmatism_in_angstroms=astigmatism_in_angstroms, astigmatism_angle=astigmatism_angle, voltage_in_kilovolts=voltage_in_kilovolts, spherical_aberration_in_mm=spherical_aberration_in_mm, @@ -302,9 +298,7 @@ def __getitem__( if particle_blocks["rlnAnglePsi"] == -999.0 else particle_blocks["rlnAnglePsi"] ) - pose_parameter_names_and_values.append( - ("view_psi", particle_blocks_for_psi) - ) + pose_parameter_names_and_values.append(("view_psi", particle_blocks_for_psi)) elif "rlnAnglePsiPrior" in particle_keys: # support for helices pose_parameter_names_and_values.append( ("view_psi", particle_blocks["rlnAnglePsiPrior"]) @@ -321,9 +315,7 @@ def __getitem__( tuple([jnp.asarray(value) for value in pose_parameter_values]), ) - return RelionParticleStack( - jnp.asarray(image_stack), config, pose, transfer_function - ) + return RelionParticleStack(jnp.asarray(image_stack), instrument_config, pose, ctf) @final def __len__(self) -> int: diff --git a/src/cryojax/image/_average.py b/src/cryojax/image/_average.py index b109d8f4..26f51bff 100644 --- a/src/cryojax/image/_average.py +++ b/src/cryojax/image/_average.py @@ -113,9 +113,7 @@ def radial_average( average_as_profile, ).reshape(radial_grid.shape) else: - raise ValueError( - f"interpolation_mode = {interpolation_mode} not supported." - ) + raise ValueError(f"interpolation_mode = {interpolation_mode} not supported.") return average_as_profile, average_as_grid else: return average_as_profile diff --git a/src/cryojax/image/_edges.py b/src/cryojax/image/_edges.py index ee92810d..399db384 100644 --- a/src/cryojax/image/_edges.py +++ b/src/cryojax/image/_edges.py @@ -24,9 +24,7 @@ def crop_to_shape( def crop_to_shape( - image_or_volume: ( - Inexact[Array, "y_dim x_dim"] | Inexact[Array, "z_dim y_dim x_dim"] - ), + image_or_volume: Inexact[Array, "y_dim x_dim"] | Inexact[Array, "z_dim y_dim x_dim"], shape: tuple[int, int] | tuple[int, int, int], ) -> ( Inexact[Array, " {shape[0]} {shape[1]}"] @@ -124,9 +122,7 @@ def pad_to_shape( def pad_to_shape( - image_or_volume: ( - Inexact[Array, "y_dim x_dim"] | Inexact[Array, "z_dim y_dim x_dim"] - ), + image_or_volume: Inexact[Array, "y_dim x_dim"] | Inexact[Array, "z_dim y_dim x_dim"], shape: tuple[int, int] | tuple[int, int, int], **kwargs: Any, ) -> ( diff --git a/src/cryojax/image/_fft.py b/src/cryojax/image/_fft.py index 15654a9c..217357ec 100644 --- a/src/cryojax/image/_fft.py +++ b/src/cryojax/image/_fft.py @@ -121,9 +121,7 @@ def irfftn( axes: Optional[tuple[int, ...]] = None, **kwargs: Any, ) -> ( - Float[Array, "y_dim x_dim"] - | Float[Array, "z_dim y_dim x_dim"] - | Float[Array, " *s"] + Float[Array, "y_dim x_dim"] | Float[Array, "z_dim y_dim x_dim"] | Float[Array, " *s"] ): """ Helper routine to compute the inverse fourier transform diff --git a/src/cryojax/image/_normalize.py b/src/cryojax/image/_normalize.py index bae32b57..b2698164 100644 --- a/src/cryojax/image/_normalize.py +++ b/src/cryojax/image/_normalize.py @@ -104,7 +104,7 @@ def compute_mean_and_std_from_fourier_image( else: N_modes = N1 * N2 # The mean is just the zero mode divided by the number of modes - mean = fourier_image[0, 0] / N_modes + mean = fourier_image[0, 0].real / N_modes # The standard deviation is square root norm squared of the zero mean image std = ( jnp.sqrt( diff --git a/src/cryojax/image/_spectrum.py b/src/cryojax/image/_spectrum.py index b8471969..1e9cfe2c 100644 --- a/src/cryojax/image/_spectrum.py +++ b/src/cryojax/image/_spectrum.py @@ -44,9 +44,7 @@ def powerspectrum( k_max: Optional[Float[Array, ""] | float] = None, ) -> ( tuple[Float[Array, " n_bins"], Float[Array, " n_bins"]] - | tuple[ - Float[Array, " n_bins"], Float[Array, "y_dim x_dim"], Float[Array, " n_bins"] - ] + | tuple[Float[Array, " n_bins"], Float[Array, "y_dim x_dim"], Float[Array, " n_bins"]] ): ... diff --git a/src/cryojax/inference/_grid_search/search_loop.py b/src/cryojax/inference/_grid_search/search_loop.py index 6ca286c2..0a427c61 100644 --- a/src/cryojax/inference/_grid_search/search_loop.py +++ b/src/cryojax/inference/_grid_search/search_loop.py @@ -117,9 +117,7 @@ def batched_body_fun(iteration_index, carry): ) tree_grid_points = tree_grid_take( tree_grid, - tree_grid_unravel_index( - raveled_grid_index_batch, tree_grid, is_leaf=is_leaf - ), + tree_grid_unravel_index(raveled_grid_index_batch, tree_grid, is_leaf=is_leaf), ) new_state = method.batch_update( fn, tree_grid_points, args, state, raveled_grid_index_batch diff --git a/src/cryojax/inference/_grid_search/search_method.py b/src/cryojax/inference/_grid_search/search_method.py index 77027764..51accc41 100644 --- a/src/cryojax/inference/_grid_search/search_method.py +++ b/src/cryojax/inference/_grid_search/search_method.py @@ -272,9 +272,7 @@ def postprocess( if x.ndim > 1 else x.reshape(f_struct.shape) ) - value = jtu.tree_map( - _reshape_fn, tree_grid_take(tree_grid, tree_grid_index) - ) + value = jtu.tree_map(_reshape_fn, tree_grid_take(tree_grid, tree_grid_index)) else: value = None # ... build and return the solution diff --git a/src/cryojax/inference/_transforms/lie_group_transforms.py b/src/cryojax/inference/_transforms/lie_group_transforms.py index b79e5f80..16ee4d31 100644 --- a/src/cryojax/inference/_transforms/lie_group_transforms.py +++ b/src/cryojax/inference/_transforms/lie_group_transforms.py @@ -121,9 +121,7 @@ def __init__(self, quaternion_pose: QuaternionPose): def get(self) -> Float[Array, "6"]: """An implementation of the `jaxlie.manifold.rplus`.""" local_tangent = self.transformed_parameter - group_element = jax.lax.stop_gradient(self.group_element) @ SE3.exp( - local_tangent - ) + group_element = jax.lax.stop_gradient(self.group_element) @ SE3.exp(local_tangent) return QuaternionPose.from_rotation_and_translation( group_element.rotation, group_element.xyz ) diff --git a/src/cryojax/inference/distributions/__init__.py b/src/cryojax/inference/distributions/__init__.py index 185a891d..be3036b7 100644 --- a/src/cryojax/inference/distributions/__init__.py +++ b/src/cryojax/inference/distributions/__init__.py @@ -1,4 +1,4 @@ -from ._distribution import ( +from ._base_distribution import ( AbstractDistribution as AbstractDistribution, AbstractMarginalDistribution as AbstractMarginalDistribution, ) diff --git a/src/cryojax/inference/distributions/_distribution.py b/src/cryojax/inference/distributions/_base_distribution.py similarity index 85% rename from src/cryojax/inference/distributions/_distribution.py rename to src/cryojax/inference/distributions/_base_distribution.py index 8979ecf1..32ab4c28 100644 --- a/src/cryojax/inference/distributions/_distribution.py +++ b/src/cryojax/inference/distributions/_base_distribution.py @@ -12,9 +12,7 @@ class AbstractDistribution(Module, strict=True): """An image formation model equipped with a probabilistic model.""" @abstractmethod - def log_likelihood( - self, observed: Inexact[Array, "y_dim x_dim"] - ) -> Float[Array, ""]: + def log_likelihood(self, observed: Inexact[Array, "y_dim x_dim"]) -> Float[Array, ""]: """Evaluate the log likelihood. **Arguments:** @@ -25,13 +23,13 @@ def log_likelihood( @abstractmethod def sample( - self, key: PRNGKeyArray, *, get_real: bool = True + self, rng_key: PRNGKeyArray, *, get_real: bool = True ) -> Inexact[Array, "y_dim x_dim"]: """Sample from the distribution. **Arguments:** - - `key` : The RNG key or key(s). See `AbstractPipeline.sample` for + - `rng_key` : The RNG key or key(s). See `AbstractPipeline.sample` for more documentation. """ raise NotImplementedError diff --git a/src/cryojax/inference/distributions/_gaussian_distributions.py b/src/cryojax/inference/distributions/_gaussian_distributions.py index 03c56912..7dab5613 100644 --- a/src/cryojax/inference/distributions/_gaussian_distributions.py +++ b/src/cryojax/inference/distributions/_gaussian_distributions.py @@ -7,14 +7,13 @@ import jax.numpy as jnp import jax.random as jr -import numpy as np -from equinox import field from jaxtyping import Array, Complex, Float, PRNGKeyArray from ..._errors import error_if_not_positive +from ...image import rescale_image from ...image.operators import Constant, FourierOperatorLike from ...simulator import AbstractImagingPipeline -from ._distribution import AbstractDistribution +from ._base_distribution import AbstractDistribution class IndependentGaussianFourierModes(AbstractDistribution, strict=True): @@ -24,57 +23,97 @@ class IndependentGaussianFourierModes(AbstractDistribution, strict=True): so that the variance to be an arbitrary noise power spectrum. """ - pipeline: AbstractImagingPipeline - variance: FourierOperatorLike - contrast_scale: Float[Array, ""] = field(converter=error_if_not_positive) + imaging_pipeline: AbstractImagingPipeline + variance_function: FourierOperatorLike + signal_scale_factor: Float[Array, ""] def __init__( self, - pipeline: AbstractImagingPipeline, - variance: Optional[FourierOperatorLike] = None, - contrast_scale: float | Float[Array, ""] = 1.0, + imaging_pipeline: AbstractImagingPipeline, + variance_function: Optional[FourierOperatorLike] = None, + signal_scale_factor: Optional[float | Float[Array, ""]] = None, ): """**Arguments:** - - `pipeline`: The image formation model. - - `variance`: The variance of each fourier mode. By default, - `cryojax.image.operators.Constant(1.0)`. - - `contrast_scale`: The standard deviation of an image simulated - from `pipeline`, excluding the noise. By default, - `1.0`. - """ - self.pipeline = pipeline - self.variance = variance or Constant(1.0) - self.contrast_scale = jnp.asarray(contrast_scale) + - `imaging_pipeline`: The image formation model. + - `variance_function`: The variance of each fourier mode. By default, + `cryojax.image.operators.Constant(1.0)`. + - `signal_scale_factor`: A scale factor for the standard deviation of the + underlying signal simulated from `imaging_pipeline`. + The standard deviation of the signal is rescaled to be + equal to `signal_scale_factor / jnp.sqrt(n_pixels)`, + where the inverse square root of `n_pixels` is included + so that the scale of the signal does not depend on the + number of pixels. As a result, a good starting value for + `signal_scale_factor` should be on the order of the + extent of the object in pixels. By default, + `signal_scale_factor = sqrt(imaging_pipeline.instrument_config.n_pixels)`. + """ # noqa: E501 + self.imaging_pipeline = imaging_pipeline + self.variance_function = variance_function or Constant(1.0) + if signal_scale_factor is None: + signal_scale_factor = jnp.sqrt( + jnp.asarray(imaging_pipeline.instrument_config.n_pixels, dtype=float) + ) + self.signal_scale_factor = error_if_not_positive(jnp.asarray(signal_scale_factor)) @override def render( self, *, get_real: bool = True ) -> ( - Float[Array, "{self.pipeline.config.y_dim} {self.pipeline.config.x_dim}"] - | Complex[Array, "{self.pipeline.config.y_dim} {self.config.x_dim//2+1}"] + Float[ + Array, + "{self.imaging_pipeline.instrument_config.y_dim} " + "{self.imaging_pipeline.instrument_config.x_dim}", + ] + | Complex[ + Array, + "{self.imaging_pipeline.instrument_config.y_dim}" + " {self.imaging_pipeline.instrument_config.x_dim//2+1}", + ] ): """Render the image formation model.""" - return self.contrast_scale * self.pipeline.render( - normalize=True, get_real=get_real + n_pixels = self.imaging_pipeline.instrument_config.n_pixels + shape = self.imaging_pipeline.instrument_config.shape + simulated_image = self.imaging_pipeline.render(get_real=get_real) + return rescale_image( + simulated_image, + std=self.signal_scale_factor / jnp.sqrt(n_pixels), + mean=0.0, + is_real=get_real, + shape_in_real_space=shape, ) @override def sample( - self, key: PRNGKeyArray, *, get_real: bool = True + self, rng_key: PRNGKeyArray, *, get_real: bool = True ) -> ( - Float[Array, "{self.pipeline.config.y_dim} {self.pipeline.config.x_dim}"] - | Complex[Array, "{self.pipeline.config.y_dim} {self.config.x_dim//2+1}"] + Float[ + Array, + "{self.imaging_pipeline.instrument_config.y_dim} " + "{self.imaging_pipeline.instrument_config.x_dim}", + ] + | Complex[ + Array, + "{self.imaging_pipeline.instrument_config.y_dim} " + "{self.imaging_pipeline.instrument_config.x_dim//2+1}", + ] ): """Sample from the gaussian noise model.""" - N_pix = np.prod(self.pipeline.config.padded_shape) - freqs = self.pipeline.config.wrapped_padded_frequency_grid_in_angstroms.get() + pipeline = self.imaging_pipeline + freqs = ( + pipeline.instrument_config.wrapped_padded_frequency_grid_in_angstroms.get() + ) # Compute the zero mean variance and scale up to be independent of the number of # pixels - std = jnp.sqrt(N_pix * self.variance(freqs)) - noise = self.pipeline.postprocess( + padded_n_pixels = pipeline.instrument_config.padded_n_pixels + std = jnp.sqrt(padded_n_pixels * self.variance_function(freqs)) + noise = pipeline.postprocess( std - * jr.normal(key, shape=freqs.shape[0:-1]).at[0, 0].set(0.0).astype(complex), + * jr.normal(rng_key, shape=freqs.shape[0:-1]) + .at[0, 0] + .set(0.0) + .astype(complex), get_real=get_real, ) image = self.render(get_real=get_real) @@ -85,7 +124,8 @@ def log_likelihood( self, observed: Complex[ Array, - "{self.pipeline.config.y_dim} {self.pipeline.config.x_dim//2+1}", + "{self.imaging_pipeline.instrument_config.y_dim} " + "{self.imaging_pipeline.instrument_config.x_dim//2+1}", ], ) -> Float[Array, ""]: """Evaluate the log-likelihood of the gaussian noise model. @@ -94,10 +134,11 @@ def log_likelihood( - `observed` : The observed data in fourier space. """ - N_pix = np.prod(self.pipeline.config.shape) - freqs = self.pipeline.config.wrapped_frequency_grid_in_angstroms.get() + pipeline = self.imaging_pipeline + n_pixels = pipeline.instrument_config.n_pixels + freqs = pipeline.instrument_config.wrapped_frequency_grid_in_angstroms.get() # Compute the variance and scale up to be independent of the number of pixels - variance = N_pix * self.variance(freqs) + variance = n_pixels * self.variance_function(freqs) # Create simulated data simulated = self.render(get_real=False) # Compute residuals @@ -109,7 +150,7 @@ def log_likelihood( # real space (parseval's theorem) log_likelihood_per_mode = ( squared_standard_normal_per_mode - jnp.log(2 * jnp.pi * variance) / 2 - ) / N_pix + ) / n_pixels # Compute log-likelihood, throwing away the zero mode. Need to take care # to compute the loss function in fourier space for a real-valued function. log_likelihood = -1.0 * ( diff --git a/src/cryojax/rotations/_lie_group.py b/src/cryojax/rotations/_lie_group.py index cced3935..c41a160d 100644 --- a/src/cryojax/rotations/_lie_group.py +++ b/src/cryojax/rotations/_lie_group.py @@ -106,9 +106,7 @@ def compose(self, other: Self) -> Self: def inverse(self) -> Self: # Negate complex terms. - return eqx.tree_at( - lambda R: R.wxyz, self, self.wxyz * jnp.array([1, -1, -1, -1]) - ) + return eqx.tree_at(lambda R: R.wxyz, self, self.wxyz * jnp.array([1, -1, -1, -1])) @classmethod def from_x_radians(cls, angle: Float[Array, ""]) -> Self: @@ -306,9 +304,7 @@ def adjoint(self) -> Float[Array, "3 3"]: @override def normalize(self) -> Self: - return eqx.tree_at( - lambda R: R.wxyz, self, self.wxyz / jnp.linalg.norm(self.wxyz) - ) + return eqx.tree_at(lambda R: R.wxyz, self, self.wxyz / jnp.linalg.norm(self.wxyz)) @classmethod def sample_uniform(cls, key: PRNGKeyArray) -> Self: diff --git a/src/cryojax/simulator/__init__.py b/src/cryojax/simulator/__init__.py index e27664c4..f8813b42 100644 --- a/src/cryojax/simulator/__init__.py +++ b/src/cryojax/simulator/__init__.py @@ -12,31 +12,27 @@ IdealDQE as IdealDQE, PoissonDetector as PoissonDetector, ) -from ._ensemble import ( - AbstractConformationalVariable as AbstractConformationalVariable, - AbstractStructuralEnsemble as AbstractStructuralEnsemble, - DiscreteConformationalVariable as DiscreteConformationalVariable, - DiscreteStructuralEnsemble as DiscreteStructuralEnsemble, - SingleStructureEnsemble as SingleStructureEnsemble, -) -from ._ice import ( - AbstractIce as AbstractIce, - GaussianIce as GaussianIce, -) -from ._instrument_config import InstrumentConfig as InstrumentConfig -from ._pipeline import ( +from ._imaging_pipeline import ( AbstractImagingPipeline as AbstractImagingPipeline, ContrastImagingPipeline as ContrastImagingPipeline, - ElectronCountsImagingPipeline as ElectronCountsImagingPipeline, + ElectronCountingImagingPipeline as ElectronCountingImagingPipeline, IntensityImagingPipeline as IntensityImagingPipeline, ) +from ._instrument_config import InstrumentConfig as InstrumentConfig from ._pose import ( AbstractPose as AbstractPose, AxisAnglePose as AxisAnglePose, EulerAnglePose as EulerAnglePose, QuaternionPose as QuaternionPose, ) -from ._potential import ( +from ._potential_integrator import ( + AbstractFourierVoxelExtraction as AbstractFourierVoxelExtraction, + AbstractPotentialIntegrator as AbstractPotentialIntegrator, + AbstractVoxelPotentialIntegrator as AbstractVoxelPotentialIntegrator, + FourierSliceExtraction as FourierSliceExtraction, + NufftProjection as NufftProjection, +) +from ._potential_representation import ( AbstractFourierVoxelGridPotential as AbstractFourierVoxelGridPotential, AbstractPotentialRepresentation as AbstractPotentialRepresentation, AbstractVoxelPotential as AbstractVoxelPotential, @@ -48,25 +44,29 @@ RealVoxelCloudPotential as RealVoxelCloudPotential, RealVoxelGridPotential as RealVoxelGridPotential, ) -from ._projection_methods import ( - AbstractPotentialProjectionMethod as AbstractPotentialProjectionMethod, - extract_slice as extract_slice, - extract_slice_with_cubic_spline as extract_slice_with_cubic_spline, - FourierSliceExtract as FourierSliceExtract, - NufftProject as NufftProject, - project_with_nufft as project_with_nufft, -) from ._scattering_theory import ( AbstractLinearScatteringTheory as AbstractLinearScatteringTheory, AbstractScatteringTheory as AbstractScatteringTheory, LinearScatteringTheory as LinearScatteringTheory, LinearSuperpositionScatteringTheory as LinearSuperpositionScatteringTheory, ) +from ._solvent import ( + AbstractIce as AbstractIce, + GaussianIce as GaussianIce, +) +from ._structural_ensemble import ( + AbstractConformationalVariable as AbstractConformationalVariable, + AbstractStructuralEnsemble as AbstractStructuralEnsemble, + AbstractStructuralEnsembleBatcher as AbstractStructuralEnsembleBatcher, + DiscreteConformationalVariable as DiscreteConformationalVariable, + DiscreteStructuralEnsemble as DiscreteStructuralEnsemble, + SingleStructureEnsemble as SingleStructureEnsemble, +) from ._transfer_theory import ( - AberratedCTF as AberratedCTF, - AbstractCTF as AbstractCTF, + AbstractContrastTransferFunction as AbstractContrastTransferFunction, AbstractTransferFunction as AbstractTransferFunction, AbstractTransferTheory as AbstractTransferTheory, + ContrastTransferFunction as ContrastTransferFunction, ContrastTransferTheory as ContrastTransferTheory, - IdealCTF as IdealCTF, + IdealContrastTransferFunction as IdealContrastTransferFunction, ) diff --git a/src/cryojax/simulator/_assembly/assembly.py b/src/cryojax/simulator/_assembly/assembly.py index 36b83fc4..f57b98b0 100644 --- a/src/cryojax/simulator/_assembly/assembly.py +++ b/src/cryojax/simulator/_assembly/assembly.py @@ -14,12 +14,12 @@ from jaxtyping import Array, Float from ...rotations import SO3 -from .._ensemble import ( +from .._pose import AbstractPose +from .._structural_ensemble import ( AbstractConformationalVariable, AbstractStructuralEnsemble, AbstractStructuralEnsembleBatcher, ) -from .._pose import AbstractPose class AbstractAssembly(AbstractStructuralEnsembleBatcher, strict=True): diff --git a/src/cryojax/simulator/_assembly/helix.py b/src/cryojax/simulator/_assembly/helix.py index 4adda43a..546d52ce 100644 --- a/src/cryojax/simulator/_assembly/helix.py +++ b/src/cryojax/simulator/_assembly/helix.py @@ -10,8 +10,11 @@ from jaxtyping import Array, Float from ...rotations import SO3 -from .._ensemble import AbstractConformationalVariable, AbstractStructuralEnsemble from .._pose import AbstractPose, EulerAnglePose +from .._structural_ensemble import ( + AbstractConformationalVariable, + AbstractStructuralEnsemble, +) from .assembly import AbstractAssembly diff --git a/src/cryojax/simulator/_detector.py b/src/cryojax/simulator/_detector.py index b3536bf8..22bff7e2 100644 --- a/src/cryojax/simulator/_detector.py +++ b/src/cryojax/simulator/_detector.py @@ -61,9 +61,7 @@ def __call__( pixel_size: Optional[Float[Array, ""]] = None, ) -> Float[Array, "y_dim x_dim"]: if pixel_size is None: - frequency_grid_in_nyquist_units = ( - frequency_grid_in_angstroms_or_pixels / 0.5 - ) + frequency_grid_in_nyquist_units = frequency_grid_in_angstroms_or_pixels / 0.5 else: frequency_grid_in_nyquist_units = ( frequency_grid_in_angstroms_or_pixels * pixel_size @@ -113,15 +111,18 @@ def sample_readout_from_expected_events( def compute_expected_electron_events( self, fourier_squared_wavefunction_at_detector_plane: Complex[ - Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}" + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", ], - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Compute the expected electron events from the detector.""" fourier_expected_electron_events = ( self._compute_expected_events_or_detector_readout( fourier_squared_wavefunction_at_detector_plane, - config, + instrument_config, key=None, ) ) @@ -132,14 +133,17 @@ def compute_detector_readout( self, key: PRNGKeyArray, fourier_squared_wavefunction_at_detector_plane: Complex[ - Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}" + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", ], - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Measure the readout from the detector.""" fourier_detector_readout = self._compute_expected_events_or_detector_readout( fourier_squared_wavefunction_at_detector_plane, - config, + instrument_config, key, ) @@ -148,17 +152,21 @@ def compute_detector_readout( def _compute_expected_events_or_detector_readout( self, fourier_squared_wavefunction_at_detector_plane: Complex[ - Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}" + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", ], - config: InstrumentConfig, + instrument_config: InstrumentConfig, key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Pass the image through the detector model.""" - N_pix = np.prod(config.padded_shape) - frequency_grid = config.wrapped_padded_frequency_grid_in_pixels.get() + N_pix = np.prod(instrument_config.padded_shape) + frequency_grid = instrument_config.wrapped_padded_frequency_grid_in_pixels.get() # Compute the time-integrated electron flux in pixels electrons_per_pixel = ( - config.electrons_per_angstrom_squared * config.pixel_size**2 + instrument_config.electrons_per_angstrom_squared + * instrument_config.pixel_size**2 ) # ... now the total number of electrons over the entire image electrons_per_image = N_pix * electrons_per_pixel @@ -179,7 +187,7 @@ def _compute_expected_events_or_detector_readout( # ... otherwise, go to real space, sample, go back to fourier, # and return. expected_electron_events = irfftn( - fourier_expected_electron_events, s=config.padded_shape + fourier_expected_electron_events, s=instrument_config.padded_shape ) return rfftn( self.sample_readout_from_expected_events(key, expected_electron_events) @@ -195,9 +203,9 @@ class GaussianDetector(AbstractDetector, strict=True): def sample_readout_from_expected_events( self, key: PRNGKeyArray, expected_electron_events: Float[Array, "y_dim x_dim"] ) -> Float[Array, "y_dim x_dim"]: - return expected_electron_events + jnp.sqrt( - expected_electron_events - ) * jr.normal(key, expected_electron_events.shape) + return expected_electron_events + jnp.sqrt(expected_electron_events) * jr.normal( + key, expected_electron_events.shape + ) class PoissonDetector(AbstractDetector, strict=True): diff --git a/src/cryojax/simulator/_imaging_pipeline.py b/src/cryojax/simulator/_imaging_pipeline.py new file mode 100644 index 00000000..58ad929e --- /dev/null +++ b/src/cryojax/simulator/_imaging_pipeline.py @@ -0,0 +1,494 @@ +""" +Image formation models. +""" + +from abc import abstractmethod +from typing import Optional +from typing_extensions import override + +import jax +from equinox import AbstractVar, Module +from jaxtyping import Array, Complex, Float, PRNGKeyArray + +from ..image import irfftn, rfftn +from ..image.operators import AbstractFilter, AbstractMask +from ._detector import AbstractDetector +from ._instrument_config import InstrumentConfig +from ._scattering_theory import AbstractScatteringTheory + + +class AbstractImagingPipeline(Module, strict=True): + """Base class for an image formation model. + + Call an `AbstractImagingPipeline`'s `render` and `sample`, + routines. + """ + + instrument_config: AbstractVar[InstrumentConfig] + filter: AbstractVar[Optional[AbstractFilter]] + mask: AbstractVar[Optional[AbstractMask]] + + @abstractmethod + def render( + self, + *, + postprocess: bool = True, + get_real: bool = True, + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}" + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + """Render an image without any stochasticity. + + **Arguments:** + + - `postprocess`: If `True`, view the cropped, filtered, and masked image. + If `postprocess = False`, `ImagePipeline.filter`, + `ImagePipeline.mask`, and cropping to `InstrumentConfig.shape` + are not applied. Instead, an image at the shape + `Instrument.padded_shape` is returned. + - `get_real`: If `True`, return the image in real space. + """ + raise NotImplementedError + + @abstractmethod + def sample( + self, + rng_key: PRNGKeyArray, + *, + postprocess: bool = True, + get_real: bool = True, + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, + "{self.instrument_config.y_dim} " "{self.instrument_config.x_dim//2+1}", + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + """Sample an image from a realization of the stochastic models contained + in the `AbstractImagingPipeline`. + + See `ImagePipeline.render` for documentation of keyword arguments. + + **Arguments:** + + - `rng_key`: The random number generator key. + """ + raise NotImplementedError + + def postprocess( + self, + image: Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ], + *, + get_real: bool = True, + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Complex[ + Array, + "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}", + ] + ): + """Return an image postprocessed with filters, cropping, and masking + in either real or fourier space. + """ + instrument_config = self.instrument_config + if ( + self.mask is None + and instrument_config.padded_shape == instrument_config.shape + ): + # ... if there are no masks and we don't need to crop, + # minimize moving back and forth between real and fourier space + if self.filter is not None: + image = self.filter(image) + return irfftn(image, s=instrument_config.shape) if get_real else image + else: + # ... otherwise, apply filter, crop, and mask, again trying to + # minimize moving back and forth between real and fourier space + is_filter_applied = True if self.filter is None else False + if ( + self.filter is not None + and self.filter.buffer.shape + == instrument_config.wrapped_padded_frequency_grid_in_pixels.get().shape[ + 0:2 + ] + ): + # ... apply the filter here if it is the same size as the padded + # coordinates + is_filter_applied = True + image = self.filter(image) + image = irfftn(image, s=instrument_config.padded_shape) + image = instrument_config.crop_to_shape(image) + if self.mask is not None: + image = self.mask(image) + if is_filter_applied or self.filter is None: + return image if get_real else rfftn(image) + else: + # ... otherwise, apply the filter here and return. assume + # the filter is the same size as the non-padded coordinates + image = self.filter(rfftn(image)) + return irfftn(image, s=instrument_config.shape) if get_real else image + + def _maybe_postprocess( + self, + image: Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ], + *, + postprocess: bool = True, + get_real: bool = True, + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}" + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + instrument_config = self.instrument_config + if postprocess: + return self.postprocess(image, get_real=get_real) + else: + return irfftn(image, s=instrument_config.padded_shape) if get_real else image + + +class ContrastImagingPipeline(AbstractImagingPipeline, strict=True): + """An image formation pipeline that returns the image contrast from a linear + scattering theory. + + **Attributes:** + + - `instrument_config`: The configuration of the instrument, such as for the pixel size + and the wavelength. + - `scattering_theory`: The scattering theory. This must be a linear scattering + theory. + - `filter: `A filter to apply to the image. + - `mask`: A mask to apply to the image. + """ + + instrument_config: InstrumentConfig + scattering_theory: AbstractScatteringTheory + + filter: Optional[AbstractFilter] + mask: Optional[AbstractMask] + + def __init__( + self, + instrument_config: InstrumentConfig, + scattering_theory: AbstractScatteringTheory, + *, + filter: Optional[AbstractFilter] = None, + mask: Optional[AbstractMask] = None, + ): + self.instrument_config = instrument_config + self.scattering_theory = scattering_theory + self.filter = filter + self.mask = mask + + @override + def render( + self, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}" + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + # Compute the squared wavefunction + fourier_contrast_at_detector_plane = ( + self.scattering_theory.compute_fourier_contrast_at_detector_plane( + self.instrument_config + ) + ) + + return self._maybe_postprocess( + fourier_contrast_at_detector_plane, postprocess=postprocess, get_real=get_real + ) + + @override + def sample( + self, rng_key: PRNGKeyArray, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}" + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + # Compute the squared wavefunction + fourier_contrast_at_detector_plane = ( + self.scattering_theory.compute_fourier_contrast_at_detector_plane( + self.instrument_config, rng_key + ) + ) + + return self._maybe_postprocess( + fourier_contrast_at_detector_plane, postprocess=postprocess, get_real=get_real + ) + + +class IntensityImagingPipeline(AbstractImagingPipeline, strict=True): + """An image formation pipeline that returns an intensity distribution---or in other + words a squared wavefunction. + + **Attributes:** + + - `instrument_config`: The configuration of the instrument, such as for the pixel size + and the wavelength. + - `scattering_theory`: The scattering theory. + - `filter: `A filter to apply to the image. + - `mask`: A mask to apply to the image. + """ + + instrument_config: InstrumentConfig + scattering_theory: AbstractScatteringTheory + + filter: Optional[AbstractFilter] + mask: Optional[AbstractMask] + + def __init__( + self, + instrument_config: InstrumentConfig, + scattering_theory: AbstractScatteringTheory, + *, + filter: Optional[AbstractFilter] = None, + mask: Optional[AbstractMask] = None, + ): + self.instrument_config = instrument_config + self.scattering_theory = scattering_theory + self.filter = filter + self.mask = mask + + @override + def render( + self, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, + "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}", + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + # Compute the squared wavefunction + theory = self.scattering_theory + fourier_squared_wavefunction_at_detector_plane = ( + theory.compute_fourier_squared_wavefunction_at_detector_plane( + self.instrument_config, + ) + ) + + return self._maybe_postprocess( + fourier_squared_wavefunction_at_detector_plane, + postprocess=postprocess, + get_real=get_real, + ) + + @override + def sample( + self, rng_key: PRNGKeyArray, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, + "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}", + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + theory = self.scattering_theory + fourier_squared_wavefunction_at_detector_plane = ( + theory.compute_fourier_squared_wavefunction_at_detector_plane( + self.instrument_config, rng_key + ) + ) + + return self._maybe_postprocess( + fourier_squared_wavefunction_at_detector_plane, + postprocess=postprocess, + get_real=get_real, + ) + + +class ElectronCountingImagingPipeline(AbstractImagingPipeline, strict=True): + """An image formation pipeline that returns electron counts, given a + model for the detector. + + **Attributes:** + + - `instrument_config`: The configuration of the instrument, such as for the pixel size + and the wavelength. + - `scattering_theory`: The scattering theory. + - `detector`: The electron detector. + - `filter: `A filter to apply to the image. + - `mask`: A mask to apply to the image. + """ + + instrument_config: InstrumentConfig + scattering_theory: AbstractScatteringTheory + detector: AbstractDetector + + filter: Optional[AbstractFilter] + mask: Optional[AbstractMask] + + def __init__( + self, + instrument_config: InstrumentConfig, + scattering_theory: AbstractScatteringTheory, + detector: AbstractDetector, + *, + filter: Optional[AbstractFilter] = None, + mask: Optional[AbstractMask] = None, + ): + self.instrument_config = instrument_config + self.scattering_theory = scattering_theory + self.detector = detector + self.filter = filter + self.mask = mask + + @override + def render( + self, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, + "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}", + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + # Compute the squared wavefunction + theory = self.scattering_theory + fourier_squared_wavefunction_at_detector_plane = ( + theory.compute_fourier_squared_wavefunction_at_detector_plane( + self.instrument_config + ) + ) + # ... now measure the expected electron events at the detector + fourier_expected_electron_events = self.detector.compute_expected_electron_events( + fourier_squared_wavefunction_at_detector_plane, self.instrument_config + ) + + return self._maybe_postprocess( + fourier_expected_electron_events, postprocess=postprocess, get_real=get_real + ) + + @override + def sample( + self, rng_key: PRNGKeyArray, *, postprocess: bool = True, get_real: bool = True + ) -> ( + Float[Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim}"] + | Float[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim}", + ] + | Complex[ + Array, "{self.instrument_config.y_dim} {self.instrument_config.x_dim//2+1}" + ] + | Complex[ + Array, + "{self.instrument_config.padded_y_dim} " + "{self.instrument_config.padded_x_dim//2+1}", + ] + ): + keys = jax.random.split(rng_key) + # Compute the squared wavefunction + theory = self.scattering_theory + fourier_squared_wavefunction_at_detector_plane = ( + theory.compute_fourier_squared_wavefunction_at_detector_plane( + self.instrument_config, keys[0] + ) + ) + # ... now measure the detector readout + fourier_detector_readout = self.detector.compute_detector_readout( + keys[1], + fourier_squared_wavefunction_at_detector_plane, + self.instrument_config, + ) + + return self._maybe_postprocess( + fourier_detector_readout, + postprocess=postprocess, + get_real=get_real, + ) diff --git a/src/cryojax/simulator/_pipeline.py b/src/cryojax/simulator/_pipeline.py deleted file mode 100644 index 4f707f9c..00000000 --- a/src/cryojax/simulator/_pipeline.py +++ /dev/null @@ -1,447 +0,0 @@ -""" -Image formation models. -""" - -from abc import abstractmethod -from typing import Optional -from typing_extensions import override - -import jax -from equinox import AbstractVar, Module -from jaxtyping import Array, Complex, Float, PRNGKeyArray - -from ..image import irfftn, normalize_image, rfftn -from ..image.operators import AbstractFilter, AbstractMask -from ._detector import AbstractDetector -from ._instrument_config import InstrumentConfig -from ._scattering_theory import AbstractLinearScatteringTheory, AbstractScatteringTheory - - -class AbstractImagingPipeline(Module, strict=True): - """Base class for an image formation model. - - Call an `AbstractImagingPipeline`'s `render` and `sample`, - routines. - """ - - config: AbstractVar[InstrumentConfig] - filter: AbstractVar[Optional[AbstractFilter]] - mask: AbstractVar[Optional[AbstractMask]] - - @abstractmethod - def render( - self, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - """Render an image without any stochasticity. - - **Arguments:** - - - `postprocess`: If `True`, view the cropped, filtered, and masked image. - If `postprocess = False`, `ImagePipeline.filter`, - `ImagePipeline.mask`, and normalization with - `normalize = True` are not applied. - - `get_real`: If `True`, return the image in real space. - - `normalize`: If `True`, normalize the image to mean zero - and standard deviation 1. - """ - raise NotImplementedError - - @abstractmethod - def sample( - self, - key: PRNGKeyArray, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - """Sample an image from a realization of the stochastic models contained - in the `AbstractImagingPipeline`. - - See `ImagePipeline.render` for documentation of keyword arguments. - - **Arguments:** - - - `key`: The random number generator key. - """ - raise NotImplementedError - - def postprocess( - self, - image: Complex[ - Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}" - ], - *, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - ): - """Return an image postprocessed with filters, cropping, and masking - in either real or fourier space. - """ - config = self.config - if self.mask is None and config.padded_shape == config.shape: - # ... if there are no masks and we don't need to crop, - # minimize moving back and forth between real and fourier space - if self.filter is not None: - image = self.filter(image) - if normalize: - image = normalize_image( - image, is_real=False, shape_in_real_space=config.shape - ) - return irfftn(image, s=config.shape) if get_real else image - else: - # ... otherwise, apply filter, crop, and mask, again trying to - # minimize moving back and forth between real and fourier space - is_filter_applied = True if self.filter is None else False - if ( - self.filter is not None - and self.filter.buffer.shape - == config.wrapped_padded_frequency_grid_in_pixels.get().shape[0:2] - ): - # ... apply the filter here if it is the same size as the padded - # coordinates - is_filter_applied = True - image = self.filter(image) - image = irfftn(image, s=config.padded_shape) - image = config.crop_to_shape(image) - if self.mask is not None: - image = self.mask(image) - if is_filter_applied or self.filter is None: - # ... normalize and return if the filter has already been applied - if normalize: - image = normalize_image(image, is_real=True) - return image if get_real else rfftn(image) - else: - # ... otherwise, apply the filter here, normalize, and return. assume - # the filter is the same size as the non-padded coordinates - image = self.filter(rfftn(image)) - if normalize: - image = normalize_image( - image, is_real=False, shape_in_real_space=config.shape - ) - return irfftn(image, s=config.shape) if get_real else image - - def _maybe_postprocess( - self, - image: Complex[ - Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}" - ], - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - config = self.config - if postprocess: - return self.postprocess( - image, - get_real=get_real, - normalize=normalize, - ) - else: - return irfftn(image, s=config.padded_shape) if get_real else image - - -class ContrastImagingPipeline(AbstractImagingPipeline, strict=True): - """An image formation pipeline that returns the image contrast from a linear - scattering theory. - - **Attributes:** - - - `config`: The configuration of the instrument, such as for the pixel size - and the wavelength. - - `scattering_theory`: The scattering theory. This must be a linear scattering - theory. - - `filter: `A filter to apply to the image. - - `mask`: A mask to apply to the image. - """ - - config: InstrumentConfig - scattering_theory: AbstractLinearScatteringTheory - - filter: Optional[AbstractFilter] - mask: Optional[AbstractMask] - - def __init__( - self, - config: InstrumentConfig, - scattering_theory: AbstractLinearScatteringTheory, - *, - filter: Optional[AbstractFilter] = None, - mask: Optional[AbstractMask] = None, - ): - self.config = config - self.scattering_theory = scattering_theory - self.filter = filter - self.mask = mask - - @override - def render( - self, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - # Compute the squared wavefunction - fourier_contrast_at_detector_plane = ( - self.scattering_theory.compute_fourier_contrast_at_detector_plane( - self.config - ) - ) - - return self._maybe_postprocess( - fourier_contrast_at_detector_plane, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) - - @override - def sample( - self, - key: PRNGKeyArray, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - # Compute the squared wavefunction - fourier_contrast_at_detector_plane = ( - self.scattering_theory.compute_fourier_contrast_at_detector_plane( - self.config, key - ) - ) - - return self._maybe_postprocess( - fourier_contrast_at_detector_plane, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) - - -class IntensityImagingPipeline(AbstractImagingPipeline, strict=True): - """An image formation pipeline that returns an intensity distribution---or in other - words a squared wavefunction. - - **Attributes:** - - - `config`: The configuration of the instrument, such as for the pixel size - and the wavelength. - - `scattering_theory`: The scattering theory. - - `filter: `A filter to apply to the image. - - `mask`: A mask to apply to the image. - """ - - config: InstrumentConfig - scattering_theory: AbstractScatteringTheory - - filter: Optional[AbstractFilter] - mask: Optional[AbstractMask] - - def __init__( - self, - config: InstrumentConfig, - scattering_theory: AbstractScatteringTheory, - *, - filter: Optional[AbstractFilter] = None, - mask: Optional[AbstractMask] = None, - ): - self.config = config - self.scattering_theory = scattering_theory - self.filter = filter - self.mask = mask - - @override - def render( - self, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - # Compute the squared wavefunction - theory = self.scattering_theory - fourier_squared_wavefunction_at_detector_plane = ( - theory.compute_fourier_squared_wavefunction_at_detector_plane( - self.config, - ) - ) - - return self._maybe_postprocess( - fourier_squared_wavefunction_at_detector_plane, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) - - @override - def sample( - self, - key: PRNGKeyArray, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - theory = self.scattering_theory - fourier_squared_wavefunction_at_detector_plane = ( - theory.compute_fourier_squared_wavefunction_at_detector_plane( - self.config, key - ) - ) - - return self._maybe_postprocess( - fourier_squared_wavefunction_at_detector_plane, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) - - -class ElectronCountsImagingPipeline(AbstractImagingPipeline, strict=True): - """An image formation pipeline that returns electron counts, given a - model for the detector. - - **Attributes:** - - - `config`: The configuration of the instrument, such as for the pixel size - and the wavelength. - - `scattering_theory`: The scattering theory. - - `detector`: The electron detector. - - `filter: `A filter to apply to the image. - - `mask`: A mask to apply to the image. - """ - - config: InstrumentConfig - scattering_theory: AbstractScatteringTheory - detector: AbstractDetector - - filter: Optional[AbstractFilter] - mask: Optional[AbstractMask] - - def __init__( - self, - config: InstrumentConfig, - scattering_theory: AbstractScatteringTheory, - detector: AbstractDetector, - *, - filter: Optional[AbstractFilter] = None, - mask: Optional[AbstractMask] = None, - ): - self.config = config - self.scattering_theory = scattering_theory - self.detector = detector - self.filter = filter - self.mask = mask - - @override - def render( - self, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - # Compute the squared wavefunction - theory = self.scattering_theory - fourier_squared_wavefunction_at_detector_plane = ( - theory.compute_fourier_squared_wavefunction_at_detector_plane(self.config) - ) - # ... now measure the expected electron events at the detector - fourier_expected_electron_events = ( - self.detector.compute_expected_electron_events( - fourier_squared_wavefunction_at_detector_plane, self.config - ) - ) - - return self._maybe_postprocess( - fourier_expected_electron_events, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) - - @override - def sample( - self, - key: PRNGKeyArray, - *, - postprocess: bool = True, - get_real: bool = True, - normalize: bool = False, - ) -> ( - Float[Array, "{self.config.y_dim} {self.config.x_dim}"] - | Float[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim}"] - | Complex[Array, "{self.config.y_dim} {self.config.x_dim//2+1}"] - | Complex[Array, "{self.config.padded_y_dim} {self.config.padded_x_dim//2+1}"] - ): - keys = jax.random.split(key) - # Compute the squared wavefunction - theory = self.scattering_theory - fourier_squared_wavefunction_at_detector_plane = ( - theory.compute_fourier_squared_wavefunction_at_detector_plane( - self.config, keys[0] - ) - ) - # ... now measure the detector readout - fourier_detector_readout = self.detector.compute_detector_readout( - keys[1], - fourier_squared_wavefunction_at_detector_plane, - self.config, - ) - - return self._maybe_postprocess( - fourier_detector_readout, - postprocess=postprocess, - get_real=get_real, - normalize=normalize, - ) diff --git a/src/cryojax/simulator/_pose.py b/src/cryojax/simulator/_pose.py index 04e5235e..b2bcd591 100644 --- a/src/cryojax/simulator/_pose.py +++ b/src/cryojax/simulator/_pose.py @@ -47,9 +47,7 @@ def rotate_coordinates( def rotate_coordinates( self, - volume_coordinates: ( - Float[Array, "z_dim y_dim x_dim 3"] | Float[Array, "size 3"] - ), + volume_coordinates: Float[Array, "z_dim y_dim x_dim 3"] | Float[Array, "size 3"], inverse: bool = False, ) -> Float[Array, "z_dim y_dim x_dim 3"] | Float[Array, "size 3"]: """Rotate coordinates from a particular convention.""" @@ -75,9 +73,7 @@ def compute_shifts( given a frequency grid coordinate system. """ xy = self.offset_in_angstroms[0:2] - return jnp.exp( - -1.0j * (2 * jnp.pi * jnp.matmul(frequency_grid_in_angstroms, xy)) - ) + return jnp.exp(-1.0j * (2 * jnp.pi * jnp.matmul(frequency_grid_in_angstroms, xy))) @cached_property def offset_in_angstroms(self) -> Float[Array, "3"]: diff --git a/src/cryojax/simulator/_potential_integrator/__init__.py b/src/cryojax/simulator/_potential_integrator/__init__.py new file mode 100644 index 00000000..c1067e68 --- /dev/null +++ b/src/cryojax/simulator/_potential_integrator/__init__.py @@ -0,0 +1,11 @@ +from .base_potential_integrator import ( + AbstractPotentialIntegrator as AbstractPotentialIntegrator, + AbstractVoxelPotentialIntegrator as AbstractVoxelPotentialIntegrator, +) +from .fourier_voxel_extract import ( + AbstractFourierVoxelExtraction as AbstractFourierVoxelExtraction, + FourierSliceExtraction as FourierSliceExtraction, +) +from .nufft_project import ( + NufftProjection as NufftProjection, +) diff --git a/src/cryojax/simulator/_potential_integrator/base_potential_integrator.py b/src/cryojax/simulator/_potential_integrator/base_potential_integrator.py new file mode 100644 index 00000000..64d2d907 --- /dev/null +++ b/src/cryojax/simulator/_potential_integrator/base_potential_integrator.py @@ -0,0 +1,82 @@ +""" +Methods for integrating the scattering potential directly onto the exit plane. +""" + +from abc import abstractmethod +from typing import Generic, TypeVar +from typing_extensions import override + +from equinox import AbstractVar, Module +from jaxtyping import Array, Complex + +from ...image import maybe_rescale_pixel_size +from .._instrument_config import InstrumentConfig +from .._potential_representation import AbstractVoxelPotential + + +PotentialT = TypeVar("PotentialT") +VoxelPotentialT = TypeVar("VoxelPotentialT", bound="AbstractVoxelPotential") + + +class AbstractPotentialIntegrator(Module, Generic[PotentialT], strict=True): + """Base class for a method of integrating a potential directly onto + an imaging plane.""" + + @abstractmethod + def compute_fourier_integrated_potential( + self, + potential: PotentialT, + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + """Compute the scattering potential in the exit plane at + the `InstrumentConfig` settings. + + **Arguments:** + + - `potential`: The scattering potential representation. + - `wavelength_in_angstroms`: The wavelength of the electron beam. + - `instrument_config`: The configuration of the resulting image. + """ + raise NotImplementedError + + +class AbstractVoxelPotentialIntegrator( + AbstractPotentialIntegrator[AbstractVoxelPotential], + Generic[VoxelPotentialT], + strict=True, +): + """Base class for a method of integrating a voxel-based potential.""" + + pixel_rescaling_method: AbstractVar[str] + + @abstractmethod + def compute_raw_fourier_image( + self, + potential: VoxelPotentialT, + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + raise NotImplementedError + + @override + def compute_fourier_integrated_potential( + self, + potential: AbstractVoxelPotential, + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + fourier_projected_potential_without_postprocess = self.compute_raw_fourier_image( + potential, # type: ignore + instrument_config, + ) + return maybe_rescale_pixel_size( + potential.voxel_size * fourier_projected_potential_without_postprocess, + potential.voxel_size, + instrument_config.pixel_size, + is_real=False, + shape_in_real_space=instrument_config.padded_shape, + ) diff --git a/src/cryojax/simulator/_potential_integrator/fourier_voxel_extract.py b/src/cryojax/simulator/_potential_integrator/fourier_voxel_extract.py new file mode 100644 index 00000000..59d3f224 --- /dev/null +++ b/src/cryojax/simulator/_potential_integrator/fourier_voxel_extract.py @@ -0,0 +1,242 @@ +""" +Using the fourier slice theorem for computing volume projections. +""" + +from abc import abstractmethod +from typing_extensions import override + +import jax.numpy as jnp +from jaxtyping import Array, Complex, Float + +from ...image import ( + irfftn, + map_coordinates, + map_coordinates_with_cubic_spline, + rfftn, +) +from .._instrument_config import InstrumentConfig +from .._potential_representation import ( + FourierVoxelGridPotential, + FourierVoxelGridPotentialInterpolator, +) +from .base_potential_integrator import AbstractVoxelPotentialIntegrator + + +class AbstractFourierVoxelExtraction( + AbstractVoxelPotentialIntegrator[ + FourierVoxelGridPotential | FourierVoxelGridPotentialInterpolator + ], + strict=True, +): + """Integrate points to the exit plane by extracting a voxel surface + from a 3D voxel grid. + + This extracts values using resampling techniques housed in + `cryojax.image._map_coordinates`. See here for more documentation. + """ + + pixel_rescaling_method: str = "bicubic" + interpolation_order: int = 1 + interpolation_mode: str = "fill" + interpolation_cval: complex = 0.0 + 0.0j + + @abstractmethod + def extract_voxels_from_spline_coefficients( + self, + spline_coefficients: Complex[Array, "dim+2 dim+2 dim+2"], + frequency_slice: Float[Array, "1 dim dim 3"], + instrument_config: InstrumentConfig, + ) -> Complex[Array, "dim dim//2+1"]: + """Extract voxels values from the spline coefficients of the + fourier-space voxel grid. + + **Arguments:** + + - `fourier_voxel_grid`: + Density grid in fourier space. The zero frequency component + should be in the center. + - `frequency_slice`: + Frequency central slice coordinate system, with the zero + frequency component in the corner. + - `instrument_config`: + The `InstrumentConfig`. + + **Returns:** + + The output image in fourier space. + """ + raise NotImplementedError + + @abstractmethod + def extract_voxels_from_grid_points( + self, + fourier_voxel_grid: Complex[Array, "dim dim dim"], + frequency_slice: Float[Array, "1 dim dim 3"], + instrument_config: InstrumentConfig, + ) -> Complex[Array, "dim dim//2+1"]: + """Extract voxels values from the potential as a fourier-space + voxel grid. + + **Arguments:** + + - `fourier_voxel_grid`: + Density grid in fourier space. The zero frequency component + should be in the center. + - `frequency_slice`: + Frequency central slice coordinate system, with the zero + frequency component in the corner. + - `instrument_config`: + The `InstrumentConfig`. + + **Returns:** + + The output image in fourier space. + """ + raise NotImplementedError + + @override + def compute_raw_fourier_image( + self, + potential: FourierVoxelGridPotential | FourierVoxelGridPotentialInterpolator, + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + """Compute a projection of the real-space potential by extracting + a central slice in fourier space. + """ + frequency_slice = potential.wrapped_frequency_slice_in_pixels.get() + N = frequency_slice.shape[1] + if potential.shape != (N, N, N): + raise AttributeError( + "Only cubic boxes are supported for fourier slice extraction." + ) + # Compute the fourier projection + if isinstance(potential, FourierVoxelGridPotentialInterpolator): + fourier_projection = self.extract_voxels_from_spline_coefficients( + potential.coefficients, frequency_slice, instrument_config + ) + elif isinstance(potential, FourierVoxelGridPotential): + fourier_projection = self.extract_voxels_from_grid_points( + potential.fourier_voxel_grid, frequency_slice, instrument_config + ) + else: + raise ValueError( + "Supported density representations are FourierVoxelGrid and " + "FourierVoxelGridInterpolator." + ) + + # Resize the image to match the InstrumentConfig.padded_shape + if instrument_config.padded_shape != (N, N): + fourier_projection = rfftn( + instrument_config.crop_or_pad_to_padded_shape( + irfftn(fourier_projection, s=(N, N)) + ) + ) + return fourier_projection + + +AbstractFourierVoxelExtraction.__init__.__doc__ = """**Arguments:** + +- `pixel_rescaling_method`: + Method for rescaling the final image to the `InstrumentConfig` + pixel size. See `cryojax.image._rescale_pixel_size` for documentation. +- `interpolation_order`: + The interpolation order. This can be ``0`` (nearest-neighbor), ``1`` + (linear), or ``3`` (cubic). + Note that this argument is ignored if a ``FourierVoxelGridInterpolator`` + is passed. +- `interpolation_mode`: + Specify how to handle out of bounds indexing. +- `interpolation_cval`: + Value for filling out-of-bounds indices. Used only when + ``interpolation_mode = "fill"``. +""" + + +class FourierSliceExtraction(AbstractFourierVoxelExtraction, strict=True): + """Integrate points to the exit plane using the + Fourier-projection slice theorem. + """ + + @override + def extract_voxels_from_spline_coefficients( + self, + spline_coefficients: Complex[Array, "dim+2 dim+2 dim+2"], + frequency_slice: Float[Array, "1 dim dim 3"], + instrument_config: InstrumentConfig, + ) -> Complex[Array, "dim dim//2+1"]: + return _extract_slice_with_cubic_spline( + spline_coefficients, + frequency_slice, + mode=self.interpolation_mode, + cval=self.interpolation_cval, + ) + + @override + def extract_voxels_from_grid_points( + self, + fourier_voxel_grid: Complex[Array, "dim dim dim"], + frequency_slice: Float[Array, "1 dim dim 3"], + instrument_config: InstrumentConfig, + ) -> Complex[Array, "dim dim//2+1"]: + return _extract_slice( + fourier_voxel_grid, + frequency_slice, + interpolation_order=self.interpolation_order, + mode=self.interpolation_mode, + cval=self.interpolation_cval, + ) + + +def _extract_slice( + fourier_voxel_grid, + frequency_slice, + interpolation_order, + **kwargs, +) -> Complex[Array, "dim dim//2+1"]: + return _extract_surface_from_voxel_grid( + fourier_voxel_grid, + frequency_slice, + is_spline_coefficients=False, + interpolation_order=interpolation_order, + **kwargs, + ) + + +def _extract_slice_with_cubic_spline( + spline_coefficients, frequency_slice, **kwargs +) -> Complex[Array, "dim dim//2+1"]: + return _extract_surface_from_voxel_grid( + spline_coefficients, frequency_slice, is_spline_coefficients=True, **kwargs + ) + + +def _extract_surface_from_voxel_grid( + voxel_grid, + frequency_coordinates, + is_spline_coefficients=False, + interpolation_order=1, + **kwargs, +): + # Convert to logical coordinates + N = frequency_coordinates.shape[1] + logical_frequency_slice = (frequency_coordinates * N) + N // 2 + # Convert arguments to map_coordinates convention and compute + k_z, k_y, k_x = jnp.transpose(logical_frequency_slice, axes=[3, 0, 1, 2]) + if is_spline_coefficients: + spline_coefficients = voxel_grid + projection = map_coordinates_with_cubic_spline( + spline_coefficients, (k_x, k_y, k_z), **kwargs + )[0, :, :] + else: + fourier_voxel_grid = voxel_grid + projection = map_coordinates( + fourier_voxel_grid, (k_x, k_y, k_z), interpolation_order, **kwargs + )[0, :, :] + # Shift zero frequency component to corner and take upper half plane + projection = jnp.fft.ifftshift(projection)[:, : N // 2 + 1] + # Set last line of frequencies to zero if image dimension is even + if N % 2 == 0: + projection = projection.at[:, -1].set(0.0 + 0.0j).at[N // 2, :].set(0.0 + 0.0j) + return projection diff --git a/src/cryojax/simulator/_projection_methods/gaussian_mixture.py b/src/cryojax/simulator/_potential_integrator/gaussian_mixture.py similarity index 100% rename from src/cryojax/simulator/_projection_methods/gaussian_mixture.py rename to src/cryojax/simulator/_potential_integrator/gaussian_mixture.py diff --git a/src/cryojax/simulator/_projection_methods/nufft_project.py b/src/cryojax/simulator/_potential_integrator/nufft_project.py similarity index 54% rename from src/cryojax/simulator/_projection_methods/nufft_project.py rename to src/cryojax/simulator/_potential_integrator/nufft_project.py index 2e0a5a25..81d494b6 100644 --- a/src/cryojax/simulator/_projection_methods/nufft_project.py +++ b/src/cryojax/simulator/_potential_integrator/nufft_project.py @@ -9,51 +9,70 @@ from jaxtyping import Array, Complex, Float from .._instrument_config import InstrumentConfig -from .._potential import RealVoxelCloudPotential, RealVoxelGridPotential -from .projection_method import AbstractVoxelPotentialProjectionMethod +from .._potential_representation import RealVoxelCloudPotential, RealVoxelGridPotential +from .base_potential_integrator import AbstractVoxelPotentialIntegrator -class NufftProject( - AbstractVoxelPotentialProjectionMethod[ - RealVoxelGridPotential | RealVoxelCloudPotential - ], +class NufftProjection( + AbstractVoxelPotentialIntegrator[RealVoxelGridPotential | RealVoxelCloudPotential], strict=True, ): """Integrate points onto the exit plane using non-uniform FFTs. - - Attributes - ---------- - eps : `float` - See ``jax-finufft`` for documentation. """ pixel_rescaling_method: str = "bicubic" eps: float = 1e-6 + def project_voxel_cloud_with_nufft( + self, + weights: Float[Array, " size"], + coordinate_list: Float[Array, "size 2"] | Float[Array, "size 3"], + shape: tuple[int, int], + ) -> Complex[Array, "{shape[0]} {shape[1]}"]: + """Project and interpolate 3D volume point cloud + onto imaging plane using a non-uniform FFT. + + **Arguments:** + + - `weights`: + Density point cloud. + - `coordinates`: + Coordinate system of point cloud. + - `shape`: + Shape of the imaging plane in pixels. + ``width, height = shape[0], shape[1]`` + is the size of the desired imaging plane. + + **Returns:** + + The output image in fourier space. + """ + return _project_with_nufft(weights, coordinate_list, shape, self.eps) + @override - def compute_raw_fourier_projected_potential( + def compute_raw_fourier_image( self, potential: RealVoxelGridPotential | RealVoxelCloudPotential, - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Rasterize image with non-uniform FFTs.""" if isinstance(potential, RealVoxelGridPotential): shape = potential.shape - fourier_projection = project_with_nufft( + fourier_projection = self.project_voxel_cloud_with_nufft( potential.real_voxel_grid.ravel(), potential.wrapped_coordinate_grid_in_pixels.get().reshape( (math.prod(shape), 3) ), - config.padded_shape, - eps=self.eps, + instrument_config.padded_shape, ) elif isinstance(potential, RealVoxelCloudPotential): - fourier_projection = project_with_nufft( + fourier_projection = self.project_voxel_cloud_with_nufft( potential.voxel_weights, potential.wrapped_coordinate_list_in_pixels.get(), - config.padded_shape, - eps=self.eps, + instrument_config.padded_shape, ) else: raise ValueError( @@ -62,32 +81,17 @@ def compute_raw_fourier_projected_potential( return fourier_projection -def project_with_nufft( - weights: Float[Array, " size"], - coordinate_list: Float[Array, "size 2"] | Float[Array, "size 3"], - shape: tuple[int, int], - eps: float = 1e-6, -) -> Complex[Array, "{shape[0]} {shape[1]}"]: - """ - Project and interpolate 3D volume point cloud - onto imaging plane using a non-uniform FFT. - - Arguments - --------- - weights : shape `(N,)` - Density point cloud. - coordinates : shape `(N, 2)` or shape `(N, 3)` - Coordinate system of point cloud. - shape : - Shape of the imaging plane in pixels. - ``width, height = shape[0], shape[1]`` - is the size of the desired imaging plane. - - Returns - ------- - projection : - The output image in fourier space. - """ +NufftProjection.__init__.__doc__ = """**Arguments:** + +- `pixel_rescaling_method`: + Method for interpolating the final image to the `InstrumentConfig` + pixel size. See `cryojax.image._rescale_pixel_size` for documentation. +- `eps` : `float` + See ``jax-finufft`` for documentation. +""" + + +def _project_with_nufft(weights, coordinate_list, shape, eps=1e-6): from jax_finufft import nufft1 weights, coordinate_list = ( diff --git a/src/cryojax/simulator/_potential/__init__.py b/src/cryojax/simulator/_potential_representation/__init__.py similarity index 100% rename from src/cryojax/simulator/_potential/__init__.py rename to src/cryojax/simulator/_potential_representation/__init__.py diff --git a/src/cryojax/simulator/_potential/atom_potential.py b/src/cryojax/simulator/_potential_representation/atom_potential.py similarity index 92% rename from src/cryojax/simulator/_potential/atom_potential.py rename to src/cryojax/simulator/_potential_representation/atom_potential.py index b39be79a..a9ba706e 100644 --- a/src/cryojax/simulator/_potential/atom_potential.py +++ b/src/cryojax/simulator/_potential_representation/atom_potential.py @@ -1,7 +1,4 @@ """ -Atomic-based electron density representations. -""" - from typing import Any, ClassVar, Type import equinox as eqx @@ -14,9 +11,9 @@ class AtomCloud(AbstractScatteringPotential): - """ + ''' Abstraction of a point cloud of atoms. - """ + ''' weights: Array = field(converter=jnp.asarray) coordinate_list: Array = field(converter=jnp.asarray) @@ -38,11 +35,12 @@ def from_file( filename: str, **kwargs: Any, ) -> "AtomCloud": - """ + ''' Load an Atom Cloud TODO: What is the file format appropriate here? Q. for Michael... - """ + ''' raise NotImplementedError # return cls.from_mrc(filename, config=config, **kwargs) +""" diff --git a/src/cryojax/simulator/_potential/base_potential.py b/src/cryojax/simulator/_potential_representation/base_potential.py similarity index 100% rename from src/cryojax/simulator/_potential/base_potential.py rename to src/cryojax/simulator/_potential_representation/base_potential.py diff --git a/src/cryojax/simulator/_potential/voxel_potential.py b/src/cryojax/simulator/_potential_representation/voxel_potential.py similarity index 97% rename from src/cryojax/simulator/_potential/voxel_potential.py rename to src/cryojax/simulator/_potential_representation/voxel_potential.py index 956f9d76..0994bcf7 100644 --- a/src/cryojax/simulator/_potential/voxel_potential.py +++ b/src/cryojax/simulator/_potential_representation/voxel_potential.py @@ -52,7 +52,7 @@ def from_real_voxel_grid( real_voxel_grid: Float[Array, "dim dim dim"] | Float[np.ndarray, "dim dim dim"], voxel_size: Float[Array, ""] | Float[np.ndarray, ""] | float, ) -> Self: - """Load an `AbstractVoxels` from real-valued 3D electron + """Load an `AbstractVoxelPotential` from real-valued 3D electron scattering potential. """ raise NotImplementedError @@ -71,7 +71,7 @@ def from_atoms( ] = None, **kwargs: Any, ) -> Self: - """Load an `AbstractVoxels` from atom positions and identities.""" + """Load an `AbstractVoxelPotential` from atom positions and identities.""" raise NotImplementedError @@ -183,9 +183,7 @@ def from_atoms( - `**kwargs`: Passed to `AbstractFourierVoxelGridPotential.from_real_voxel_grid` """ - form_factors = ( - form_factors if form_factors is None else jnp.asarray(form_factors) - ) + form_factors = form_factors if form_factors is None else jnp.asarray(form_factors) a_vals, b_vals = get_form_factor_params( jnp.asarray(atom_identities), form_factors ) @@ -280,9 +278,7 @@ def __init__( @property def shape(self) -> tuple[int, int, int]: - return cast( - tuple[int, int, int], tuple([s - 2 for s in self.coefficients.shape]) - ) + return cast(tuple[int, int, int], tuple([s - 2 for s in self.coefficients.shape])) class RealVoxelGridPotential(AbstractVoxelPotential, strict=True): @@ -387,9 +383,7 @@ def from_atoms( - `**kwargs`: Passed to `RealVoxelGridPotential.from_real_voxel_grid` """ - form_factors = ( - form_factors if form_factors is None else jnp.asarray(form_factors) - ) + form_factors = form_factors if form_factors is None else jnp.asarray(form_factors) a_vals, b_vals = get_form_factor_params( jnp.asarray(atom_identities), form_factors ) @@ -530,9 +524,7 @@ def from_atoms( - `**kwargs`: Passed to `RealVoxelCloudPotential.from_real_voxel_grid` """ - form_factors = ( - form_factors if form_factors is None else jnp.asarray(form_factors) - ) + form_factors = form_factors if form_factors is None else jnp.asarray(form_factors) a_vals, b_vals = get_form_factor_params( jnp.asarray(atom_identities), form_factors ) diff --git a/src/cryojax/simulator/_projection_methods/__init__.py b/src/cryojax/simulator/_projection_methods/__init__.py deleted file mode 100644 index 644d1d96..00000000 --- a/src/cryojax/simulator/_projection_methods/__init__.py +++ /dev/null @@ -1,12 +0,0 @@ -from .fourier_slice_extract import ( - extract_slice as extract_slice, - extract_slice_with_cubic_spline as extract_slice_with_cubic_spline, - FourierSliceExtract as FourierSliceExtract, -) -from .nufft_project import ( - NufftProject as NufftProject, - project_with_nufft as project_with_nufft, -) -from .projection_method import ( - AbstractPotentialProjectionMethod as AbstractPotentialProjectionMethod, -) diff --git a/src/cryojax/simulator/_projection_methods/fourier_slice_extract.py b/src/cryojax/simulator/_projection_methods/fourier_slice_extract.py deleted file mode 100644 index 6f3eb60b..00000000 --- a/src/cryojax/simulator/_projection_methods/fourier_slice_extract.py +++ /dev/null @@ -1,184 +0,0 @@ -""" -Using the fourier slice theorem for computing volume projections. -""" - -from typing import Any -from typing_extensions import override - -import jax.numpy as jnp -from jaxtyping import Array, Complex, Float - -from ...image import ( - irfftn, - map_coordinates, - map_coordinates_with_cubic_spline, - rfftn, -) -from .._instrument_config import InstrumentConfig -from .._potential import ( - FourierVoxelGridPotential, - FourierVoxelGridPotentialInterpolator, -) -from .projection_method import AbstractVoxelPotentialProjectionMethod - - -class FourierSliceExtract( - AbstractVoxelPotentialProjectionMethod[ - FourierVoxelGridPotential | FourierVoxelGridPotentialInterpolator - ], - strict=True, -): - """Integrate points to the exit plane using the - Fourier-projection slice theorem. - - This extracts slices using resampling techniques housed in - ``cryojax.image._map_coordinates``. See here for more documentation. - - Attributes - ---------- - interpolation_order : - The interpolation order. This can be ``0`` (nearest-neighbor), ``1`` - (linear), or ``3`` (cubic). - Note that this argument is ignored if a ``FourierVoxelGridInterpolator`` - is passed. - interpolation_mode : - Specify how to handle out of bounds indexing. - interpolation_cval : - Value for filling out-of-bounds indices. Used only when - ``interpolation_mode = "fill"``. - """ - - pixel_rescaling_method: str = "bicubic" - interpolation_order: int = 1 - interpolation_mode: str = "fill" - interpolation_cval: complex = 0.0 + 0.0j - - @override - def compute_raw_fourier_projected_potential( - self, - potential: FourierVoxelGridPotential | FourierVoxelGridPotentialInterpolator, - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - """Compute a projection of the real-space potential by extracting - a central slice in fourier space. - """ - frequency_slice = potential.wrapped_frequency_slice_in_pixels.get() - N = frequency_slice.shape[1] - if potential.shape != (N, N, N): - raise AttributeError( - "Only cubic boxes are supported for fourier slice extraction." - ) - # Compute the fourier projection - if isinstance(potential, FourierVoxelGridPotentialInterpolator): - fourier_projection = extract_slice_with_cubic_spline( - potential.coefficients, - frequency_slice, - mode=self.interpolation_mode, - cval=self.interpolation_cval, - ) - elif isinstance(potential, FourierVoxelGridPotential): - fourier_projection = extract_slice( - potential.fourier_voxel_grid, - frequency_slice, - interpolation_order=self.interpolation_order, - mode=self.interpolation_mode, - cval=self.interpolation_cval, - ) - else: - raise ValueError( - "Supported density representations are FourierVoxelGrid and " - "FourierVoxelGridInterpolator." - ) - - # Resize the image to match the InstrumentConfig.padded_shape - if config.padded_shape != (N, N): - fourier_projection = rfftn( - config.crop_or_pad_to_padded_shape(irfftn(fourier_projection, s=(N, N))) - ) - return fourier_projection - - -def extract_slice( - fourier_voxel_grid: Complex[Array, "dim dim dim"], - frequency_slice: Float[Array, "1 dim dim 3"], - interpolation_order: int = 1, - **kwargs: Any, -) -> Complex[Array, "dim dim//2+1"]: - """ - Project and interpolate 3D volume point cloud - onto imaging plane using the fourier slice theorem. - - Arguments - --------- - fourier_voxel_grid : shape `(N, N, N)` - Density grid in fourier space. The zero frequency component - should be in the center. - frequency_slice : shape `(1, N, N, 3)` - Frequency central slice coordinate system, with the zero - frequency component in the corner. - interpolation_order : int - Order of interpolation, either 0, 1, or 3. - kwargs - Keyword arguments passed to ``cryojax.image.map_coordinates`` - or ``cryojax.image.map_coordinates_with_cubic_spline``. - - Returns - ------- - projection : shape `(N, N//2+1)` - The output image in fourier space. - """ - # Convert to logical coordinates - N = frequency_slice.shape[1] - logical_frequency_slice = (frequency_slice * N) + N // 2 - # Convert arguments to map_coordinates convention and compute - k_z, k_y, k_x = jnp.transpose(logical_frequency_slice, axes=[3, 0, 1, 2]) - projection = map_coordinates( - fourier_voxel_grid, (k_x, k_y, k_z), interpolation_order, **kwargs - )[0, :, :] - # Shift zero frequency component to corner and take upper half plane - projection = jnp.fft.ifftshift(projection)[:, : N // 2 + 1] - # Set last line of frequencies to zero if image dimension is even - if N % 2 == 0: - projection = projection.at[:, -1].set(0.0 + 0.0j).at[N // 2, :].set(0.0 + 0.0j) - return projection - - -def extract_slice_with_cubic_spline( - spline_coefficients: Complex[Array, "dim+2 dim+2 dim+2"], - frequency_slice: Float[Array, "1 dim dim 3"], - **kwargs: Any, -) -> Complex[Array, "dim dim//2+1"]: - """ - Project and interpolate 3D volume point cloud - onto imaging plane using the fourier slice theorem, using cubic - spline coefficients as input. - - Arguments - --------- - spline_coefficients : shape `(N+2, N+2, N+2)` - Coefficients for cubic spline. - frequency_slice : shape `(1, N, N, 3)` - Frequency central slice coordinate system, with the zero - frequency component in the corner. - kwargs - Keyword arguments passed to ``cryojax.image.map_coordinates_with_cubic_spline``. - - Returns - ------- - projection : shape `(N, N//2+1)` - The output image in fourier space. - """ - # Convert to logical coordinates - N = frequency_slice.shape[1] - logical_frequency_slice = (frequency_slice * N) + N // 2 - # Convert arguments to map_coordinates convention and compute - k_z, k_y, k_x = jnp.transpose(logical_frequency_slice, axes=[3, 0, 1, 2]) - projection = map_coordinates_with_cubic_spline( - spline_coefficients, (k_x, k_y, k_z), **kwargs - )[0, :, :] - # Shift zero frequency component to corner and take upper half plane - projection = jnp.fft.ifftshift(projection)[:, : N // 2 + 1] - # Set last line of frequencies to zero if image dimension is even - if N % 2 == 0: - projection = projection.at[:, -1].set(0.0 + 0.0j).at[N // 2, :].set(0.0 + 0.0j) - return projection diff --git a/src/cryojax/simulator/_projection_methods/projection_method.py b/src/cryojax/simulator/_projection_methods/projection_method.py deleted file mode 100644 index 722b945a..00000000 --- a/src/cryojax/simulator/_projection_methods/projection_method.py +++ /dev/null @@ -1,74 +0,0 @@ -""" -Methods for integrating the scattering potential onto the exit plane. -""" - -from abc import abstractmethod -from typing import Generic, TypeVar -from typing_extensions import override - -from equinox import AbstractVar, Module -from jaxtyping import Array, Complex - -from ...image import maybe_rescale_pixel_size -from .._instrument_config import InstrumentConfig -from .._potential import AbstractVoxelPotential - - -PotentialT = TypeVar("PotentialT") -VoxelPotentialT = TypeVar("VoxelPotentialT", bound="AbstractVoxelPotential") - - -class AbstractPotentialProjectionMethod(Module, Generic[PotentialT], strict=True): - """Base class for a method of extracting projections of a potential.""" - - @abstractmethod - def compute_fourier_projected_potential( - self, - potential: PotentialT, - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - """Compute the scattering potential in the exit plane at - the `InstrumentConfig` settings. - - **Arguments:** - - - `potential`: The scattering potential representation. - - `wavelength_in_angstroms`: The wavelength of the electron beam. - - `config`: The configuration of the resulting image. - """ - raise NotImplementedError - - -class AbstractVoxelPotentialProjectionMethod( - AbstractPotentialProjectionMethod[AbstractVoxelPotential], - Generic[VoxelPotentialT], - strict=True, -): - """Base class for a method of extracting projections of a voxel-based potential.""" - - pixel_rescaling_method: AbstractVar[str] - - @abstractmethod - def compute_raw_fourier_projected_potential( - self, - potential: VoxelPotentialT, - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - raise NotImplementedError - - @override - def compute_fourier_projected_potential( - self, - potential: AbstractVoxelPotential, - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - raw_fourier_projected_potential = self.compute_raw_fourier_projected_potential( - potential, config # type: ignore - ) - return maybe_rescale_pixel_size( - potential.voxel_size * raw_fourier_projected_potential, - potential.voxel_size, - config.pixel_size, - is_real=False, - shape_in_real_space=config.padded_shape, - ) diff --git a/src/cryojax/simulator/_scattering_theory/base_scattering_theory.py b/src/cryojax/simulator/_scattering_theory/base_scattering_theory.py index c0ab6f37..287bd9a3 100644 --- a/src/cryojax/simulator/_scattering_theory/base_scattering_theory.py +++ b/src/cryojax/simulator/_scattering_theory/base_scattering_theory.py @@ -10,10 +10,22 @@ class AbstractScatteringTheory(eqx.Module, strict=True): """Base class for a scattering theory.""" + @abstractmethod + def compute_fourier_contrast_at_detector_plane( + self, + instrument_config: InstrumentConfig, + rng_key: Optional[PRNGKeyArray] = None, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + raise NotImplementedError + @abstractmethod def compute_fourier_squared_wavefunction_at_detector_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: raise NotImplementedError diff --git a/src/cryojax/simulator/_scattering_theory/linear_scattering_theory.py b/src/cryojax/simulator/_scattering_theory/linear_scattering_theory.py index c51af59e..03faf598 100644 --- a/src/cryojax/simulator/_scattering_theory/linear_scattering_theory.py +++ b/src/cryojax/simulator/_scattering_theory/linear_scattering_theory.py @@ -8,52 +8,50 @@ import jax.numpy as jnp from jaxtyping import Array, Complex, PRNGKeyArray -from .._ensemble import ( +from .._instrument_config import InstrumentConfig +from .._pose import AbstractPose +from .._potential_integrator import AbstractPotentialIntegrator +from .._solvent import AbstractIce +from .._structural_ensemble import ( AbstractConformationalVariable, AbstractStructuralEnsemble, AbstractStructuralEnsembleBatcher, ) -from .._ice import AbstractIce -from .._instrument_config import InstrumentConfig -from .._pose import AbstractPose -from .._projection_methods import AbstractPotentialProjectionMethod from .._transfer_theory import ContrastTransferTheory from .base_scattering_theory import AbstractScatteringTheory class AbstractLinearScatteringTheory(AbstractScatteringTheory, strict=True): - """Base class for a scattering theory in linear image formation theory.""" + """Base class for a scattering theory in linear image formation theory + (the weak-phase approximation). + """ @abstractmethod def compute_fourier_phase_shifts_at_exit_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - raise NotImplementedError - - @abstractmethod - def compute_fourier_contrast_at_detector_plane( - self, - config: InstrumentConfig, - rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: raise NotImplementedError @override def compute_fourier_squared_wavefunction_at_detector_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Compute the squared wavefunction at the detector plane, given the contrast. """ - N1, N2 = config.padded_shape + N1, N2 = instrument_config.padded_shape # ... compute the squared wavefunction directly from the image contrast # as |psi|^2 = 1 + 2C. fourier_contrast_at_detector_plane = ( - self.compute_fourier_contrast_at_detector_plane(config, rng_key) + self.compute_fourier_contrast_at_detector_plane(instrument_config, rng_key) ) fourier_squared_wavefunction_at_detector_plane = ( (2 * fourier_contrast_at_detector_plane).at[0, 0].add(1.0 * N1 * N2) @@ -65,55 +63,50 @@ class LinearScatteringTheory(AbstractLinearScatteringTheory, strict=True): """Base linear image formation theory.""" structural_ensemble: AbstractStructuralEnsemble - projection_method: AbstractPotentialProjectionMethod + potential_integrator: AbstractPotentialIntegrator transfer_theory: ContrastTransferTheory solvent: Optional[AbstractIce] = None @override def compute_fourier_phase_shifts_at_exit_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - # Get potential in the lab frame - potential = self.structural_ensemble.get_potential_in_lab_frame() + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: # Compute the phase shifts in the exit plane - fourier_projected_potential = ( - self.projection_method.compute_fourier_projected_potential( - potential, config + fourier_phase_shifts_at_exit_plane = ( + _compute_phase_shifts_from_projected_potential( + self.structural_ensemble, self.potential_integrator, instrument_config ) ) - fourier_phase_at_exit_plane = ( - config.wavelength_in_angstroms * fourier_projected_potential - ) - # Apply in-plane translation through phase shifts - fourier_phase_at_exit_plane *= self.structural_ensemble.pose.compute_shifts( - config.wrapped_padded_frequency_grid_in_angstroms.get() - ) if rng_key is not None: # Get the potential of the specimen plus the ice if self.solvent is not None: - fourier_phase_at_exit_plane = ( + fourier_phase_shifts_at_exit_plane = ( self.solvent.compute_fourier_phase_shifts_with_ice( - rng_key, fourier_phase_at_exit_plane, config + rng_key, fourier_phase_shifts_at_exit_plane, instrument_config ) ) - return fourier_phase_at_exit_plane + return fourier_phase_shifts_at_exit_plane @override def compute_fourier_contrast_at_detector_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - fourier_phase_at_exit_plane = self.compute_fourier_phase_shifts_at_exit_plane( - config, rng_key + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: + fourier_phase_shifts_at_exit_plane = ( + self.compute_fourier_phase_shifts_at_exit_plane(instrument_config, rng_key) ) fourier_contrast_at_detector_plane = self.transfer_theory( - fourier_phase_at_exit_plane, - config, + fourier_phase_shifts_at_exit_plane, + instrument_config, defocus_offset=self.structural_ensemble.pose.offset_z_in_angstroms, ) @@ -122,8 +115,8 @@ def compute_fourier_contrast_at_detector_plane( LinearScatteringTheory.__init__.__doc__ = """**Arguments:** -- `structural_ensemble`: The specimen potential ensemble. -- `projection_method`: The method for computing projections of the specimen potential. +- `structural_ensemble`: The structural ensemble of scattering potentials. +- `potential_integrator`: The method for integrating the scattering potential. - `transfer_theory`: The contrast transfer theory. - `solvent`: The model for the solvent. """ @@ -135,41 +128,34 @@ class LinearSuperpositionScatteringTheory(AbstractLinearScatteringTheory, strict """ structural_ensemble_batcher: AbstractStructuralEnsembleBatcher - projection_method: AbstractPotentialProjectionMethod + potential_integrator: AbstractPotentialIntegrator transfer_theory: ContrastTransferTheory solvent: Optional[AbstractIce] = None @override def compute_fourier_phase_shifts_at_exit_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: @partial(eqx.filter_vmap, in_axes=(0, None, None)) - def compute_image_stack(ensemble_vmap, ensemble_no_vmap, config): + def compute_image_stack(ensemble_vmap, ensemble_no_vmap, instrument_config): ensemble = eqx.combine(ensemble_vmap, ensemble_no_vmap) - # Get potential in the lab frame - potential = ensemble.get_potential_in_lab_frame() - # Compute the phase shifts in the exit plane - fourier_projected_potential = ( - self.projection_method.compute_fourier_projected_potential( - potential, config + fourier_phase_shifts_at_exit_plane = ( + _compute_phase_shifts_from_projected_potential( + ensemble, self.potential_integrator, instrument_config ) ) - fourier_phase_at_exit_plane = ( - config.wavelength_in_angstroms * fourier_projected_potential - ) - # Apply in-plane translation through phase shifts - fourier_phase_at_exit_plane *= ensemble.pose.compute_shifts( - config.wrapped_padded_frequency_grid_in_pixels.get() - ) - - return fourier_phase_at_exit_plane + return fourier_phase_shifts_at_exit_plane @eqx.filter_jit - def compute_image_superposition(ensemble_vmap, ensemble_no_vmap, config): + def compute_image_superposition( + ensemble_vmap, ensemble_no_vmap, instrument_config + ): return jnp.sum( - compute_image_stack(ensemble_vmap, ensemble_no_vmap, config), + compute_image_stack(ensemble_vmap, ensemble_no_vmap, instrument_config), axis=0, ) @@ -178,61 +164,53 @@ def compute_image_superposition(ensemble_vmap, ensemble_no_vmap, config): self.structural_ensemble_batcher.get_batched_structural_ensemble() ) # Setup vmap over the pose and conformation - is_vmap = lambda x: isinstance( - x, (AbstractPose, AbstractConformationalVariable) - ) + is_vmap = lambda x: isinstance(x, (AbstractPose, AbstractConformationalVariable)) to_vmap = jax.tree_util.tree_map(is_vmap, ensemble_batch, is_leaf=is_vmap) vmap, novmap = eqx.partition(ensemble_batch, to_vmap) - fourier_phase_at_exit_plane = compute_image_superposition(vmap, novmap, config) + fourier_phase_shifts_at_exit_plane = compute_image_superposition( + vmap, novmap, instrument_config + ) if rng_key is not None: # Get the potential of the specimen plus the ice if self.solvent is not None: - fourier_phase_at_exit_plane = ( + fourier_phase_shifts_at_exit_plane = ( self.solvent.compute_fourier_phase_shifts_with_ice( - rng_key, fourier_phase_at_exit_plane, config + rng_key, fourier_phase_shifts_at_exit_plane, instrument_config ) ) - return fourier_phase_at_exit_plane + return fourier_phase_shifts_at_exit_plane @override def compute_fourier_contrast_at_detector_plane( self, - config: InstrumentConfig, + instrument_config: InstrumentConfig, rng_key: Optional[PRNGKeyArray] = None, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: - + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: @partial(eqx.filter_vmap, in_axes=(0, None, None)) - def compute_image_stack(ensemble_vmap, ensemble_no_vmap, config): + def compute_image_stack(ensemble_vmap, ensemble_no_vmap, instrument_config): ensemble = eqx.combine(ensemble_vmap, ensemble_no_vmap) - # Get potential in the lab frame - potential = ensemble.get_potential_in_lab_frame() - # Compute the phase shifts in the exit plane - fourier_projected_potential = ( - self.projection_method.compute_fourier_projected_potential( - potential, config + fourier_phase_shifts_at_exit_plane = ( + _compute_phase_shifts_from_projected_potential( + ensemble, self.potential_integrator, instrument_config ) ) - fourier_phase_at_exit_plane = ( - config.wavelength_in_angstroms * fourier_projected_potential - ) - # Apply in-plane translation through phase shifts - fourier_phase_at_exit_plane *= ensemble.pose.compute_shifts( - config.wrapped_padded_frequency_grid_in_pixels.get() - ) - fourier_contrast_at_detector_plane = self.transfer_theory( - fourier_phase_at_exit_plane, config + fourier_phase_shifts_at_exit_plane, instrument_config ) return fourier_contrast_at_detector_plane @eqx.filter_jit - def compute_image_superposition(ensemble_vmap, ensemble_no_vmap, config): + def compute_image_superposition( + ensemble_vmap, ensemble_no_vmap, instrument_config + ): return jnp.sum( - compute_image_stack(ensemble_vmap, ensemble_no_vmap, config), + compute_image_stack(ensemble_vmap, ensemble_no_vmap, instrument_config), axis=0, ) @@ -241,22 +219,22 @@ def compute_image_superposition(ensemble_vmap, ensemble_no_vmap, config): self.structural_ensemble_batcher.get_batched_structural_ensemble() ) # Setup vmap over the pose and conformation - is_vmap = lambda x: isinstance( - x, (AbstractPose, AbstractConformationalVariable) - ) + is_vmap = lambda x: isinstance(x, (AbstractPose, AbstractConformationalVariable)) to_vmap = jax.tree_util.tree_map(is_vmap, ensemble_batch, is_leaf=is_vmap) vmap, novmap = eqx.partition(ensemble_batch, to_vmap) fourier_contrast_at_detector_plane = compute_image_superposition( - vmap, novmap, config + vmap, novmap, instrument_config ) if rng_key is not None: # Get the contrast from the ice and add to that of the image batch if self.solvent is not None: fourier_ice_contrast_at_detector_plane = self.transfer_theory( - self.solvent.sample_fourier_phase_shifts_from_ice(rng_key, config), - config, + self.solvent.sample_fourier_phase_shifts_from_ice( + rng_key, instrument_config + ), + instrument_config, ) fourier_contrast_at_detector_plane += ( fourier_ice_contrast_at_detector_plane @@ -270,7 +248,31 @@ def compute_image_superposition(ensemble_vmap, ensemble_no_vmap, config): - `structural_ensemble_batcher`: The batcher that computes the states that over which to compute a superposition of images. Most commonly, this would be an `AbstractAssembly` concrete class. -- `projection_method`: The method for computing projections of the specimen potential. +- `potential_integrator`: The method for integrating the specimen potential. - `transfer_theory`: The contrast transfer theory. - `solvent`: The model for the solvent. """ + + +def _compute_phase_shifts_from_projected_potential( + structural_ensemble, potential_integrator, instrument_config +): + # Get potential in the lab frame + potential = structural_ensemble.get_potential_in_lab_frame() + # Compute the phase shifts in the exit plane + fourier_projected_potential = ( + potential_integrator.compute_fourier_integrated_potential( + potential, instrument_config + ) + ) + # Compute in-plane translation through fourier phase shifts + translational_phase_shifts = structural_ensemble.pose.compute_shifts( + instrument_config.wrapped_padded_frequency_grid_in_angstroms.get() + ) + # The phase shifts in the exit plane multiplies the wavelength x + # projected potential (here with units of inverse angstroms) x the translation + return ( + instrument_config.wavelength_in_angstroms + * fourier_projected_potential + * translational_phase_shifts + ) diff --git a/src/cryojax/simulator/_ice.py b/src/cryojax/simulator/_solvent.py similarity index 73% rename from src/cryojax/simulator/_ice.py rename to src/cryojax/simulator/_solvent.py index 350eb9a8..87aa933e 100644 --- a/src/cryojax/simulator/_ice.py +++ b/src/cryojax/simulator/_solvent.py @@ -20,8 +20,10 @@ class AbstractIce(Module, strict=True): @abstractmethod def sample_fourier_phase_shifts_from_ice( - self, key: PRNGKeyArray, config: InstrumentConfig - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + self, key: PRNGKeyArray, instrument_config: InstrumentConfig + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Sample a stochastic realization of the phase shifts due to the ice at the exit plane.""" raise NotImplementedError @@ -30,14 +32,17 @@ def compute_fourier_phase_shifts_with_ice( self, key: PRNGKeyArray, fourier_phase_at_exit_plane: Complex[ - Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}" + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", ], - config: InstrumentConfig, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + instrument_config: InstrumentConfig, + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Compute the combined phase of the ice and the specimen.""" # Sample the realization of the phase due to the ice. fourier_ice_phase_at_exit_plane = self.sample_fourier_phase_shifts_from_ice( - key, config + key, instrument_config ) return fourier_phase_at_exit_plane + fourier_ice_phase_at_exit_plane @@ -61,12 +66,14 @@ def __init__(self, variance: FourierOperatorLike): @override def sample_fourier_phase_shifts_from_ice( - self, key: PRNGKeyArray, config: InstrumentConfig - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + self, key: PRNGKeyArray, instrument_config: InstrumentConfig + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Sample a realization of the ice phase shifts as colored gaussian noise.""" - N_pix = np.prod(config.padded_shape) + N_pix = np.prod(instrument_config.padded_shape) frequency_grid_in_angstroms = ( - config.wrapped_padded_frequency_grid_in_angstroms.get() + instrument_config.wrapped_padded_frequency_grid_in_angstroms.get() ) # Compute standard deviation, scaling up by the variance by the number # of pixels to make the realization independent pixel-independent in real-space. diff --git a/src/cryojax/simulator/_ensemble/__init__.py b/src/cryojax/simulator/_structural_ensemble/__init__.py similarity index 100% rename from src/cryojax/simulator/_ensemble/__init__.py rename to src/cryojax/simulator/_structural_ensemble/__init__.py diff --git a/src/cryojax/simulator/_ensemble/base_conformation.py b/src/cryojax/simulator/_structural_ensemble/base_conformation.py similarity index 100% rename from src/cryojax/simulator/_ensemble/base_conformation.py rename to src/cryojax/simulator/_structural_ensemble/base_conformation.py diff --git a/src/cryojax/simulator/_ensemble/base_ensemble.py b/src/cryojax/simulator/_structural_ensemble/base_ensemble.py similarity index 96% rename from src/cryojax/simulator/_ensemble/base_ensemble.py rename to src/cryojax/simulator/_structural_ensemble/base_ensemble.py index 1d5cb8b6..abc931bc 100644 --- a/src/cryojax/simulator/_ensemble/base_ensemble.py +++ b/src/cryojax/simulator/_structural_ensemble/base_ensemble.py @@ -9,7 +9,7 @@ from equinox import AbstractVar, Module from .._pose import AbstractPose, EulerAnglePose -from .._potential import AbstractPotentialRepresentation +from .._potential_representation import AbstractPotentialRepresentation from .base_conformation import AbstractConformationalVariable diff --git a/src/cryojax/simulator/_ensemble/discrete_ensemble.py b/src/cryojax/simulator/_structural_ensemble/discrete_ensemble.py similarity index 96% rename from src/cryojax/simulator/_ensemble/discrete_ensemble.py rename to src/cryojax/simulator/_structural_ensemble/discrete_ensemble.py index 77e87f0b..ff59ad24 100644 --- a/src/cryojax/simulator/_ensemble/discrete_ensemble.py +++ b/src/cryojax/simulator/_structural_ensemble/discrete_ensemble.py @@ -11,7 +11,7 @@ from ..._errors import error_if_negative from .._pose import AbstractPose, EulerAnglePose -from .._potential import AbstractPotentialRepresentation +from .._potential_representation import AbstractPotentialRepresentation from .base_conformation import AbstractConformationalVariable from .base_ensemble import AbstractStructuralEnsemble diff --git a/src/cryojax/simulator/_ensemble/ensemble_batcher.py b/src/cryojax/simulator/_structural_ensemble/ensemble_batcher.py similarity index 100% rename from src/cryojax/simulator/_ensemble/ensemble_batcher.py rename to src/cryojax/simulator/_structural_ensemble/ensemble_batcher.py diff --git a/src/cryojax/simulator/_transfer_theory/__init__.py b/src/cryojax/simulator/_transfer_theory/__init__.py index f679e141..25d0b2f6 100644 --- a/src/cryojax/simulator/_transfer_theory/__init__.py +++ b/src/cryojax/simulator/_transfer_theory/__init__.py @@ -3,8 +3,8 @@ AbstractTransferTheory as AbstractTransferTheory, ) from .contrast_transfer_theory import ( - AberratedCTF as AberratedCTF, - AbstractCTF as AbstractCTF, + AbstractContrastTransferFunction as AbstractContrastTransferFunction, + ContrastTransferFunction as ContrastTransferFunction, ContrastTransferTheory as ContrastTransferTheory, - IdealCTF as IdealCTF, + IdealContrastTransferFunction as IdealContrastTransferFunction, ) diff --git a/src/cryojax/simulator/_transfer_theory/base_transfer_theory.py b/src/cryojax/simulator/_transfer_theory/base_transfer_theory.py index ff144993..d55384a7 100644 --- a/src/cryojax/simulator/_transfer_theory/base_transfer_theory.py +++ b/src/cryojax/simulator/_transfer_theory/base_transfer_theory.py @@ -1,7 +1,7 @@ from abc import abstractmethod from typing import Optional -from equinox import AbstractVar, Module +from equinox import Module from jaxtyping import Array, Complex, Float from ...image.operators import ( @@ -27,20 +27,30 @@ def __call__( class AbstractTransferTheory(Module, strict=True): """Base class for a transfer theory.""" - transfer_function: AbstractVar[AbstractTransferFunction] - @abstractmethod def __call__( self, fourier_phase_or_wavefunction_at_exit_plane: ( - Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"] - | Complex[Array, "{config.padded_y_dim} {config.padded_x_dim}"] + Complex[ + Array, + "{instrument_config.padded_y_dim} " + "{instrument_config.padded_x_dim//2+1}", + ] + | Complex[ + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim}", + ] ), - config: InstrumentConfig, + instrument_config: InstrumentConfig, defocus_offset: Float[Array, ""] | float = 0.0, ) -> ( - Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"] - | Complex[Array, "{config.padded_y_dim} {config.padded_x_dim}"] + Complex[ + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", + ] + | Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim}" + ] ): """Pass an image through the transfer theory.""" raise NotImplementedError diff --git a/src/cryojax/simulator/_transfer_theory/common_functions.py b/src/cryojax/simulator/_transfer_theory/common_functions.py index 929bafee..b3319d6e 100644 --- a/src/cryojax/simulator/_transfer_theory/common_functions.py +++ b/src/cryojax/simulator/_transfer_theory/common_functions.py @@ -1,5 +1,3 @@ -from typing import Optional - import jax.numpy as jnp from jaxtyping import Array, Float @@ -7,21 +5,20 @@ # Not currently public API -def compute_aberrated_phase_shifts( +def compute_phase_shifts( frequency_grid_in_angstroms: Float[Array, "y_dim x_dim 2"], - defocus_u_in_angstroms: Float[Array, ""], - defocus_v_in_angstroms: Float[Array, ""], + defocus_axis_1_in_angstroms: Float[Array, ""], + defocus_axis_2_in_angstroms: Float[Array, ""], astigmatism_angle: Float[Array, ""], wavelength_in_angstroms: Float[Array, ""], spherical_aberration_in_angstroms: Float[Array, ""], phase_shift: Float[Array, ""], - amplitude_contrast_ratio: Optional[Float[Array, ""]] = None, ) -> Float[Array, "y_dim x_dim"]: k_sqr, azimuth = cartesian_to_polar(frequency_grid_in_angstroms, square=True) defocus = 0.5 * ( - defocus_u_in_angstroms - + defocus_v_in_angstroms - + (defocus_u_in_angstroms - defocus_v_in_angstroms) + defocus_axis_1_in_angstroms + + defocus_axis_2_in_angstroms + + (defocus_axis_1_in_angstroms - defocus_axis_2_in_angstroms) * jnp.cos(2.0 * (azimuth - astigmatism_angle)) ) defocus_phase_shifts = -0.5 * defocus * wavelength_in_angstroms * k_sqr @@ -34,10 +31,33 @@ def compute_aberrated_phase_shifts( phase_shifts = (2 * jnp.pi) * ( defocus_phase_shifts + aberration_phase_shifts ) - phase_shift - if amplitude_contrast_ratio is not None: - amplitude_contrast_phase_shifts = jnp.arctan( - amplitude_contrast_ratio / jnp.sqrt(1.0 - amplitude_contrast_ratio**2) - ) - phase_shifts -= amplitude_contrast_phase_shifts + + return phase_shifts + + +# Not currently public API +def compute_phase_shifts_with_amplitude_contrast_ratio( + frequency_grid_in_angstroms: Float[Array, "y_dim x_dim 2"], + defocus_axis_1_in_angstroms: Float[Array, ""], + defocus_axis_2_in_angstroms: Float[Array, ""], + astigmatism_angle: Float[Array, ""], + wavelength_in_angstroms: Float[Array, ""], + spherical_aberration_in_angstroms: Float[Array, ""], + phase_shift: Float[Array, ""], + amplitude_contrast_ratio: Float[Array, ""], +) -> Float[Array, "y_dim x_dim"]: + phase_shifts = compute_phase_shifts( + frequency_grid_in_angstroms, + defocus_axis_1_in_angstroms, + defocus_axis_2_in_angstroms, + astigmatism_angle, + wavelength_in_angstroms, + spherical_aberration_in_angstroms, + phase_shift, + ) + amplitude_contrast_phase_shifts = jnp.arctan( + amplitude_contrast_ratio / jnp.sqrt(1.0 - amplitude_contrast_ratio**2) + ) + phase_shifts -= amplitude_contrast_phase_shifts return phase_shifts diff --git a/src/cryojax/simulator/_transfer_theory/contrast_transfer_theory.py b/src/cryojax/simulator/_transfer_theory/contrast_transfer_theory.py index a24a3028..ae4fe703 100644 --- a/src/cryojax/simulator/_transfer_theory/contrast_transfer_theory.py +++ b/src/cryojax/simulator/_transfer_theory/contrast_transfer_theory.py @@ -14,10 +14,10 @@ ) from .._instrument_config import InstrumentConfig from .base_transfer_theory import AbstractTransferFunction, AbstractTransferTheory -from .common_functions import compute_aberrated_phase_shifts +from .common_functions import compute_phase_shifts_with_amplitude_contrast_ratio -class AbstractCTF(AbstractTransferFunction, strict=True): +class AbstractContrastTransferFunction(AbstractTransferFunction, strict=True): """An abstract base class for a transfer function.""" @abstractmethod @@ -27,21 +27,19 @@ def __call__( *, wavelength_in_angstroms: Optional[Float[Array, ""] | float] = None, defocus_offset: Float[Array, ""] | float = 0.0, - ) -> Float[Array, "y_dim x_dim"] | Complex[Array, "y_dim x_dim"]: + ) -> Float[Array, "y_dim x_dim"]: raise NotImplementedError -class AberratedCTF(AbstractCTF, strict=True): - """Compute the Contrast Transfer Function (CTF) in for a weakly - scattering specimen. +class ContrastTransferFunction(AbstractContrastTransferFunction, strict=True): + """Compute an astigmatic Contrast Transfer Function (CTF) with a + spherical aberration correction and amplitude contrast ratio. """ - defocus_u_in_angstroms: Float[Array, ""] = field( - default=10000.0, converter=error_if_not_positive - ) - defocus_v_in_angstroms: Float[Array, ""] = field( + defocus_in_angstroms: Float[Array, ""] = field( default=10000.0, converter=error_if_not_positive ) + astigmatism_in_angstroms: Float[Array, ""] = field(default=0.0, converter=jnp.asarray) astigmatism_angle: Float[Array, ""] = field(default=0.0, converter=jnp.asarray) voltage_in_kilovolts: Float[Array, ""] | float = field( default=300.0, static=True @@ -75,22 +73,30 @@ def __call__( ) else: wavelength_in_angstroms = jnp.asarray(wavelength_in_angstroms) + defocus_axis_1_in_angstroms = self.defocus_in_angstroms + jnp.asarray( + defocus_offset + ) + defocus_axis_2_in_angstroms = ( + self.defocus_in_angstroms + + self.astigmatism_in_angstroms + + jnp.asarray(defocus_offset) + ) # Compute phase shifts for CTF - phase_shifts = compute_aberrated_phase_shifts( + phase_shifts = compute_phase_shifts_with_amplitude_contrast_ratio( frequency_grid_in_angstroms, - self.defocus_u_in_angstroms + jnp.asarray(defocus_offset), - self.defocus_v_in_angstroms + jnp.asarray(defocus_offset), + defocus_axis_1_in_angstroms, + defocus_axis_2_in_angstroms, astigmatism_angle, wavelength_in_angstroms, spherical_aberration_in_angstroms, phase_shift, - amplitude_contrast_ratio=self.amplitude_contrast_ratio, + self.amplitude_contrast_ratio, ) # Compute the CTF return jnp.sin(phase_shifts).at[0, 0].set(0.0) -AberratedCTF.__init__.__doc__ = """**Arguments:** +ContrastTransferFunction.__init__.__doc__ = """**Arguments:** - `defocus_u_in_angstroms`: The major axis defocus in Angstroms. - `defocus_v_in_angstroms`: The minor axis defocus in Angstroms. @@ -102,7 +108,7 @@ def __call__( """ -class IdealCTF(AbstractCTF, strict=True): +class IdealContrastTransferFunction(AbstractContrastTransferFunction, strict=True): """Compute a perfect CTF, where frequency content is delivered equally over all frequencies. """ @@ -122,43 +128,48 @@ class ContrastTransferTheory(AbstractTransferTheory, strict=True): contrast by applying the CTF directly to the exit plane phase shifts. """ - transfer_function: AbstractCTF + ctf: AbstractContrastTransferFunction envelope: FourierOperatorLike def __init__( self, - transfer_function: AbstractCTF, + ctf: AbstractContrastTransferFunction, envelope: Optional[FourierOperatorLike] = None, ): - self.transfer_function = transfer_function + self.ctf = ctf self.envelope = envelope or Constant(1.0) @override def __call__( self, fourier_phase_at_exit_plane: Complex[ - Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}" + Array, + "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}", ], - config: InstrumentConfig, + instrument_config: InstrumentConfig, defocus_offset: Float[Array, ""] | float = 0.0, - ) -> Complex[Array, "{config.padded_y_dim} {config.padded_x_dim//2+1}"]: + ) -> Complex[ + Array, "{instrument_config.padded_y_dim} {instrument_config.padded_x_dim//2+1}" + ]: """Apply the CTF directly to the phase shifts in the exit plane.""" - frequency_grid = config.wrapped_padded_frequency_grid_in_angstroms.get() + frequency_grid = ( + instrument_config.wrapped_padded_frequency_grid_in_angstroms.get() + ) # Compute the CTF - ctf = self.envelope(frequency_grid) * self.transfer_function( + ctf_array = self.envelope(frequency_grid) * self.ctf( frequency_grid, - wavelength_in_angstroms=config.wavelength_in_angstroms, + wavelength_in_angstroms=instrument_config.wavelength_in_angstroms, defocus_offset=defocus_offset, ) # ... compute the contrast as the CTF multiplied by the exit plane # phase shifts - fourier_contrast_at_detector_plane = ctf * fourier_phase_at_exit_plane + fourier_contrast_at_detector_plane = ctf_array * fourier_phase_at_exit_plane return fourier_contrast_at_detector_plane ContrastTransferTheory.__init__.__doc__ = """**Arguments:** -- `transfer_function`: The contrast transfer function model. +- `ctf`: The contrast transfer function model. - `envelope`: The envelope function of the optics model. """ diff --git a/tests/conftest.py b/tests/conftest.py index a0ce88aa..0d3db74f 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -78,14 +78,12 @@ def voltage_in_kilovolts(): @pytest.fixture def config(pixel_size, voltage_in_kilovolts): - return cs.InstrumentConfig( - (65, 66), pixel_size, voltage_in_kilovolts, pad_scale=1.1 - ) + return cs.InstrumentConfig((65, 66), pixel_size, voltage_in_kilovolts, pad_scale=1.1) @pytest.fixture def projection_method(): - return cs.FourierSliceExtract(interpolation_order=1) + return cs.FourierSliceExtraction(interpolation_order=1) @pytest.fixture @@ -111,7 +109,7 @@ def masks(config): @pytest.fixture def transfer_theory(): - return cs.ContrastTransferTheory(transfer_function=cs.AberratedCTF()) + return cs.ContrastTransferTheory(ctf=cs.ContrastTransferFunction()) @pytest.fixture @@ -156,13 +154,13 @@ def theory_with_solvent(specimen, projection_method, transfer_theory, solvent): @pytest.fixture def noiseless_model(config, theory): - return cs.IntensityImagingPipeline(config=config, scattering_theory=theory) + return cs.IntensityImagingPipeline(instrument_config=config, scattering_theory=theory) @pytest.fixture def noisy_model(config, theory_with_solvent, detector): - return cs.ElectronCountsImagingPipeline( - config=config, + return cs.ElectronCountingImagingPipeline( + instrument_config=config, scattering_theory=theory_with_solvent, detector=detector, ) diff --git a/tests/test_agree_with_cistem.py b/tests/test_agree_with_cistem.py index 30b5853f..507badac 100644 --- a/tests/test_agree_with_cistem.py +++ b/tests/test_agree_with_cistem.py @@ -8,7 +8,7 @@ from cryojax.coordinates import cartesian_to_polar, make_frequencies from cryojax.data import read_array_with_spacing_from_mrc from cryojax.image import irfftn, powerspectrum -from cryojax.simulator import AberratedCTF, EulerAnglePose +from cryojax.simulator import ContrastTransferFunction, EulerAnglePose jax.config.update("jax_enable_x64", True) @@ -36,9 +36,9 @@ def test_ctf_with_cistem(defocus1, defocus2, asti_angle, kV, cs, ac, pixel_size) freqs = make_frequencies(shape, pixel_size) k_sqr, theta = cartesian_to_polar(freqs, square=True) # Compute cryojax CTF - optics = AberratedCTF( - defocus_u_in_angstroms=defocus1, - defocus_v_in_angstroms=defocus2, + optics = ContrastTransferFunction( + defocus_in_angstroms=defocus1, + astigmatism_in_angstroms=defocus2 - defocus1, astigmatism_angle=asti_angle, voltage_in_kilovolts=kV, spherical_aberration_in_mm=cs, @@ -55,9 +55,9 @@ def test_ctf_with_cistem(defocus1, defocus2, asti_angle, kV, cs, ac, pixel_size) astig_angle=asti_angle, pixel_size=pixel_size, ) - cisTEM_ctf = np.vectorize( - lambda k_sqr, theta: cisTEM_optics.Evaluate(k_sqr, theta) - )(k_sqr.ravel() * pixel_size**2, theta.ravel()).reshape(freqs.shape[0:2]) + cisTEM_ctf = np.vectorize(lambda k_sqr, theta: cisTEM_optics.Evaluate(k_sqr, theta))( + k_sqr.ravel() * pixel_size**2, theta.ravel() + ).reshape(freqs.shape[0:2]) cisTEM_ctf[0, 0] = 0.0 # Compute cryojax and cisTEM power spectrum @@ -122,11 +122,11 @@ def test_compute_projection_with_cistem( real_voxel_grid, voxel_size ) pose = cs.EulerAnglePose(view_phi=phi, view_theta=theta, view_psi=psi) - projection_method = cs.FourierSliceExtract() + projection_method = cs.FourierSliceExtraction() box_size = potential.shape[0] config = cs.InstrumentConfig((box_size, box_size), pixel_size, 300.0) cryojax_projection = irfftn( - projection_method.compute_raw_fourier_projected_potential( + projection_method.compute_raw_fourier_image( potential.rotate_to_pose(pose), config ) .at[0, 0] diff --git a/tests/test_fft.py b/tests/test_fft.py index df36914f..22cb699a 100644 --- a/tests/test_fft.py +++ b/tests/test_fft.py @@ -29,9 +29,7 @@ def test_fft(model, request): # Run tests with an image np.testing.assert_allclose(image, ifftn(fftn(image)).real) # ... test zero mode separately - np.testing.assert_allclose( - fftn(image)[1:, 1:], fftn(ifftn(fftn(image)).real)[1:, 1:] - ) + np.testing.assert_allclose(fftn(image)[1:, 1:], fftn(ifftn(fftn(image)).real)[1:, 1:]) np.testing.assert_allclose( fftn(image)[0, 0], fftn(ifftn(fftn(image)).real)[0, 0], atol=1e-12 ) diff --git a/tests/test_helix.py b/tests/test_helix.py index 1342b306..b87213cc 100644 --- a/tests/test_helix.py +++ b/tests/test_helix.py @@ -6,7 +6,7 @@ import cryojax.simulator as cs from cryojax.data import read_array_with_spacing_from_mrc -from cryojax.image import irfftn +from cryojax.image import irfftn, normalize_image def build_helix(sample_subunit_mrc_path, n_subunits_per_start) -> cs.HelicalAssembly: @@ -62,24 +62,28 @@ def build_helix_with_conformation( def test_superposition_pipeline_without_conformation(sample_subunit_mrc_path, config): helix = build_helix(sample_subunit_mrc_path, 1) - projection_method = cs.FourierSliceExtract() - transfer_theory = cs.ContrastTransferTheory(cs.IdealCTF()) + projection_method = cs.FourierSliceExtraction() + transfer_theory = cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()) theory = cs.LinearSuperpositionScatteringTheory( helix, projection_method, transfer_theory ) - pipeline = cs.ContrastImagingPipeline(config=config, scattering_theory=theory) + pipeline = cs.ContrastImagingPipeline( + instrument_config=config, scattering_theory=theory + ) _ = pipeline.render() _ = pipeline.sample(jax.random.PRNGKey(0)) def test_superposition_pipeline_with_conformation(sample_subunit_mrc_path, config): helix = build_helix_with_conformation(sample_subunit_mrc_path, 2) - projection_method = cs.FourierSliceExtract() - transfer_theory = cs.ContrastTransferTheory(cs.IdealCTF()) + projection_method = cs.FourierSliceExtraction() + transfer_theory = cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()) theory = cs.LinearSuperpositionScatteringTheory( helix, projection_method, transfer_theory ) - pipeline = cs.ContrastImagingPipeline(config=config, scattering_theory=theory) + pipeline = cs.ContrastImagingPipeline( + instrument_config=config, scattering_theory=theory + ) _ = pipeline.render() _ = pipeline.sample(jax.random.PRNGKey(0)) @@ -92,12 +96,14 @@ def test_c6_rotation( sample_subunit_mrc_path, config, rotation_angle, n_subunits_per_start ): helix = build_helix(sample_subunit_mrc_path, n_subunits_per_start) - projection_method = cs.FourierSliceExtract() - transfer_theory = cs.ContrastTransferTheory(cs.IdealCTF()) + projection_method = cs.FourierSliceExtraction() + transfer_theory = cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()) theory = cs.LinearSuperpositionScatteringTheory( helix, projection_method, transfer_theory ) - pipeline = cs.ContrastImagingPipeline(config=config, scattering_theory=theory) + pipeline = cs.ContrastImagingPipeline( + instrument_config=config, scattering_theory=theory + ) @eqx.filter_jit def compute_rotated_image(pipeline, pose): @@ -106,7 +112,7 @@ def compute_rotated_image(pipeline, pose): pipeline, pose, ) - return pipeline.render(normalize=True) + return normalize_image(pipeline.render()) np.testing.assert_allclose( compute_rotated_image(pipeline, cs.EulerAnglePose()), @@ -128,19 +134,19 @@ def test_agree_with_3j9g_assembly( specimen_39jg = cs.SingleStructureEnsemble(potential, cs.EulerAnglePose()) superposition_theory = cs.LinearSuperpositionScatteringTheory( helix, - cs.FourierSliceExtract(), - cs.ContrastTransferTheory(cs.IdealCTF()), + cs.FourierSliceExtraction(), + cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()), ) theory = cs.LinearScatteringTheory( specimen_39jg, - cs.FourierSliceExtract(), - cs.ContrastTransferTheory(cs.IdealCTF()), + cs.FourierSliceExtraction(), + cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()), ) pipeline_for_assembly = cs.ContrastImagingPipeline( - config=config, scattering_theory=superposition_theory + instrument_config=config, scattering_theory=superposition_theory ) pipeline_for_3j9g = cs.ContrastImagingPipeline( - config=config, scattering_theory=theory + instrument_config=config, scattering_theory=theory ) @eqx.filter_jit @@ -152,7 +158,7 @@ def compute_rotated_image_with_helix( pipeline, pose, ) - return pipeline.render(normalize=True) + return normalize_image(pipeline.render()) @eqx.filter_jit def compute_rotated_image_with_3j9g( @@ -161,7 +167,7 @@ def compute_rotated_image_with_3j9g( pipeline = eqx.tree_at( lambda m: m.scattering_theory.structural_ensemble.pose, pipeline, pose ) - return pipeline.render(normalize=True) + return normalize_image(pipeline.render()) pose = cs.EulerAnglePose(*translation, 0.0, *euler_angles) reference_image = compute_rotated_image_with_3j9g( @@ -183,8 +189,8 @@ def compute_rotated_image(config, helix, pose): helix = eqx.tree_at(lambda m: m.pose, helix, pose) theory = cs.LinearSuperpositionScatteringTheory( helix, - cs.FourierSliceExtract(), - cs.ContrastTransferTheory(cs.IdealCTF()), + cs.FourierSliceExtraction(), + cs.ContrastTransferTheory(cs.IdealContrastTransferFunction()), ) return config.crop_to_shape( irfftn( diff --git a/tests/test_normalize.py b/tests/test_normalize.py index 18e6534f..a670408d 100644 --- a/tests/test_normalize.py +++ b/tests/test_normalize.py @@ -1,34 +1,25 @@ import jax import jax.numpy as jnp import numpy as np -import pytest -from cryojax.image import irfftn +from cryojax.image import irfftn, normalize_image jax.config.update("jax_enable_x64", True) -@pytest.mark.parametrize( - "model", - [ - "noisy_model", - "noiseless_model", - ], -) -def test_normalized_pipeline_image(model, request): - model = request.getfixturevalue(model) +def test_fourier_vs_real_normalized_image(noisy_model): key = jax.random.PRNGKey(1234) - im1 = model.render(get_real=True, normalize=True) - im2 = model.sample(key, get_real=True, normalize=True) - im3 = irfftn( - model.render(get_real=False, normalize=True), - s=model.config.shape, - ) - im4 = irfftn( - model.render(get_real=False, normalize=True), - s=model.config.shape, - ) - for im in [im1, im2, im3, im4]: + im1 = normalize_image(noisy_model.sample(key, get_real=True), is_real=True) + im2 = irfftn( + normalize_image( + noisy_model.render(get_real=False), + is_real=False, + half_space=True, + shape_in_real_space=im1.shape, # type: ignore + ), + s=noisy_model.instrument_config.shape, + ) # type: ignore + for im in [im1, im2]: np.testing.assert_allclose(jnp.std(im), jnp.asarray(1.0), rtol=1e-3) np.testing.assert_allclose(jnp.mean(im), jnp.asarray(0.0), atol=1e-8) diff --git a/tests/test_pose_agreement.py b/tests/test_pose_agreement.py index 018f9d8f..ad30962e 100644 --- a/tests/test_pose_agreement.py +++ b/tests/test_pose_agreement.py @@ -21,9 +21,7 @@ def test_translation_agreement(): offset = jnp.asarray((0.0, -1.4, 4.5)) quat = cs.QuaternionPose.from_rotation_and_translation(rotation, offset) axis_angle = cs.AxisAnglePose.from_rotation_and_translation(rotation, offset) - np.testing.assert_allclose( - quat.rotation.as_matrix(), axis_angle.rotation.as_matrix() - ) + np.testing.assert_allclose(quat.rotation.as_matrix(), axis_angle.rotation.as_matrix()) np.testing.assert_allclose(quat.offset_in_angstroms, axis_angle.offset_in_angstroms) @@ -34,9 +32,7 @@ def test_pose_conversion(): euler = cs.EulerAnglePose.from_rotation(rotation) axis_angle = cs.AxisAnglePose.from_rotation(rotation) np.testing.assert_allclose(quat.rotation.as_matrix(), euler.rotation.as_matrix()) - np.testing.assert_allclose( - quat.rotation.as_matrix(), axis_angle.rotation.as_matrix() - ) + np.testing.assert_allclose(quat.rotation.as_matrix(), axis_angle.rotation.as_matrix()) def test_default_pose_images(noiseless_model): diff --git a/tests/test_potential.py b/tests/test_potential.py index 0bf37baf..068dc8a9 100644 --- a/tests/test_potential.py +++ b/tests/test_potential.py @@ -24,9 +24,7 @@ def test_voxel_electron_potential_loaders(): for potential in [real_potential, fourier_potential, cloud_potential]: assert potential.voxel_size == jnp.asarray(voxel_size) - assert isinstance( - fourier_potential.wrapped_frequency_slice_in_pixels, FrequencySlice - ) + assert isinstance(fourier_potential.wrapped_frequency_slice_in_pixels, FrequencySlice) assert isinstance( fourier_potential.wrapped_frequency_slice_in_pixels.get(), Float[Array, "1 _ _ 3"], diff --git a/tests/test_shape.py b/tests/test_shape.py index 1890427f..85f08e3e 100644 --- a/tests/test_shape.py +++ b/tests/test_shape.py @@ -16,8 +16,8 @@ def test_real_shape(model, request): model = request.getfixturevalue(model) image = model.render() padded_image = model.render(postprocess=False) - assert image.shape == model.config.shape - assert padded_image.shape == model.config.padded_shape + assert image.shape == model.instrument_config.shape + assert padded_image.shape == model.instrument_config.padded_shape @pytest.mark.parametrize("model", ["noisy_model"]) @@ -26,10 +26,15 @@ def test_fourier_shape(model, request): model = request.getfixturevalue(model) image = model.render(get_real=False) padded_image = model.render(postprocess=False, get_real=False) - assert image.shape == model.config.wrapped_frequency_grid_in_pixels.get().shape[0:2] + assert ( + image.shape + == model.instrument_config.wrapped_frequency_grid_in_pixels.get().shape[0:2] + ) assert ( padded_image.shape - == model.config.wrapped_padded_frequency_grid_in_pixels.get().shape[0:2] + == model.instrument_config.wrapped_padded_frequency_grid_in_pixels.get().shape[ + 0:2 + ] ) @@ -42,9 +47,9 @@ def test_even_vs_odd_image_shape(shape, sample_mrc_path, pixel_size): ) assert control_shape == potential.fourier_voxel_grid.shape[0:2] pose = cs.EulerAnglePose() - method = cs.FourierSliceExtract() + method = cs.FourierSliceExtraction() specimen = cs.SingleStructureEnsemble(potential, pose) - transfer_theory = cs.ContrastTransferTheory(cs.AberratedCTF()) + transfer_theory = cs.ContrastTransferTheory(cs.ContrastTransferFunction()) theory = cs.LinearScatteringTheory(specimen, method, transfer_theory) config_control = cs.InstrumentConfig( control_shape, pixel_size, voltage_in_kilovolts=300.0