Year: 2026
Type: preprint
Abstract: We release an enhanced FIB-SEM volume and associated neuron, mitochondria, synapse and glia automated segmentations for the complete, gap- and artifact-free central nervous system of the first instar female larval Drosophila melanogaster . Segmentation data is largely unproofread besides select neurons in the premotor and proprioceptive system and select subvolumes where synapses have been manually annotated, serving as training and evaluation data. The dataset represents the first complete central nervous system of the larval fly, and now awaits substantial improvement of machine vision approaches that effectively leverage domain knowledge for the automated yet data-guided proofreading, or substantial and costly human proofreading. All the data and methods are publicly available for further improvement and analysis.
Authors: Samia Mohinta, Daniel Franco-Barranco, Shi Yan Lee, Pedro Gómez-Gálvez, Shaurya Agrawal, Michael Clayton, Christopher L. Barnes, Nadine Randel, Ana Correia, Nicolo Ceffa, Nadia Stoichkova Velichkova, Katrin Nielsen, Harald Hess, Song Pang, C. Shan Xu, Jimena Berni, Michał Januszewski, Marta Zlatic, Albert Cardona
Institutions: MRC Laboratory of Molecular Biology, University of Cambridge, Donostia International Physics Center, Biomedical Research Networking Center on Neurodegenerative Diseases, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Brighton and Sussex Medical School, University of Sussex, University of Brighton, Howard Hughes Medical Institute, Janelia Research Campus, Yale University, Google (United States), Google (Switzerland)
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7216076408