Connectomic reconstruction of a female Drosophila ventral nerve cord (Azevedo, Lesser, Phelps, Mark et al. 2024 Nature)
Anthony Azevedo*, Ellen Lesser*, Jasper S. Phelps*, Brandon Mark*, Leila Elabbady, Sumiya Kuroda, Anne Sustar, Anthony Moussa, Avinash Kandelwal, Chris J. Dallmann, Sweta Agrawal, Su-Yee J. Lee, Brandon Pratt, Andrew Cook, Kyobi Skutt-Kakaria, Stephan Gerhard, Ran Lu, Nico Kemnitz, Kisuk Lee, Akhilesh Halageri, Manuel Castro, Dodam Ih, Jay Gager, Marwan Tammam, Sven Dorkenwald, Forrest Collman, Casey Schneider-Mizell, Derrick Brittain, Chris S. Jordan, Michael Dickinson, Alexandra Pacureanu, H. Sebastian Seung, Thomas Macrina, Wei-Chung Allen Lee☨, John C. Tuthill☨
- Published in Nature, available online as of June 26, 2024: https://www.nature.com/articles/s41586-024-07389-x
- Preprint posted to bioRxiv on December 15, 2022: https://www.biorxiv.org/content/10.1101/2022.12.15.520299
This paper reports the automated reconstruction of FANC's neurons, synapses, and nuclei using convolutional neural network-based pipelines.
The motor neurons controlling the front legs and the wings were proofread. The muscle target of each motor neuron was also determined by comparing neuroanatomy between electron microscopy, X-ray microscopy, and light microscopy datasets.
A separate repository containing analysis code can be found at https://github.com/tuthill-lab/Azevedo_Lesser_Phelps_Mark_2024. The paper's analysis is based on the state of the FANC connectome on January 17th, 2024 – specifically CAVE materialization v840, which has a timestamp of 1705479001.179472 (use datetime.datetime.fromtimestamp(1705479001.179472, datetime.timezone.utc) in Python).
Click here to view the AI-generated reconstructions (without human proofreading) of the entire FANC dataset.
- Open up one of the published neuron viewers:
- View the neurons in the original EM dataset: https://ng.fanc.community/published-neurons-viewer
- View the neurons aligned to the female VNC template: https://ng.fanc.community/published-neurons-aligned-to-template-viewer
- In the viewer, use the top-right panel to search for neurons you're interested in.
- For this paper's neurons, start by clicking the
+to the left ofAzevedo-Lesser-Phelps-Mark-et-al.-2024. - Then click the
+or-next to other terms to select or exclude different types of neurons.
- For this paper's neurons, start by clicking the
- Once you've finished selecting terms, click the crossed eye icon (see screenshot below) to start loading neurons into your viewer:
The 199 motor neurons and 11 takeoff-related neurons included in this paper are annotated with "Azevedo Lesser Mark Phelps et al. 2024" in the neuron_information CAVE table.
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