ArticleNature methods2024
Gapr for large-scale collaborative single-neuron reconstruction.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Volume electron microscopy reveals oligodendrocyte axon selection patterns and spatial assembly of myelin and nodes.iScience · 2026Article
- SegAnyNeuron: a neural image segmentation network with strong generalization performance by modeling image intensity variation.Brain informatics · 2026Article
- High-Resolution Single-Neuron Reconstruction Analysis in Golgi-Stained Brain Tissues.Cell proliferation · 2026Article
- A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons.Frontiers in neuroinformatics · 2025Article
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Authors and funding
11 authors.
Funding
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Abstract
Whole-brain analysis of single-neuron morphology is crucial for unraveling the complex structure of the brain. However, large-scale neuron reconstruction from terabyte and even petabyte data of mammalian brains generated by state-of-the-art light microscopy is a daunting task. Here, we developed 'Gapr' (Gapr accelerates projectome reconstruction) that streamlines deep learning-based automatic reconstruction, 'automatic proofreading' that reduces human workloads at high-confidence sites, and high-throughput collaborative proofreading by crowd users through the Internet. Furthermore, Gapr offers a seamless user interface that ensures high proofreading speed per annotator, on-demand conversion for handling large datasets, flexible workflows tailored to diverse datasets and rigorous error tracking for quality control. Finally, we demonstrated Gapr's efficacy by reconstructing over 4,000 neurons in mouse brains, revealing the morphological diversity in cortical interneurons and hypothalamic neurons. Here, we present Gapr as a solution for large-scale single-neuron reconstruction projects.
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