ArticleNature methods2024
Collaborative augmented reconstruction of 3D neuron morphology in mouse and human brains.
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 8 papers.
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Who cites it
8 citing papers in PubMed.
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- A Dynamic Contour Evolution Algorithm for Cell Segmentation and Synaptic Tracking under Occlusion.Chemical & biomedical imaging · 2026Article
- High-Resolution Single-Neuron Reconstruction Analysis in Golgi-Stained Brain Tissues.Cell proliferation · 2026Article
- Information flow drives localized morphological differences across neuronal and glial cell types.Frontiers in computational neuroscience · 2026Article
- Distinct subnetworks of the mouse anterior thalamic nuclei.Nature communications · 2025Article
- A Multi-Scale Neuron Morphometry Dataset from Peta-voxel Mouse Whole-Brain Images.Scientific data · 2025Article
- CVR-BBI: an open-source VR platform for multi-user collaborative brain to brain interfaces.Bioinformatics (Oxford, England) · 2024Article
- Neuronal diversity and stereotypy at multiple scales through whole brain morphometry.Nature communications · 2024Article
Corrections and comments
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Authors and funding
19 authors.
Funding
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Abstract
Digital reconstruction of the intricate 3D morphology of individual neurons from microscopic images is a crucial challenge in both individual laboratories and large-scale projects focusing on cell types and brain anatomy. This task often fails in both conventional manual reconstruction and state-of-the-art artificial intelligence (AI)-based automatic reconstruction algorithms. It is also challenging to organize multiple neuroanatomists to generate and cross-validate biologically relevant and mutually agreed upon reconstructions in large-scale data production. Based on collaborative group intelligence augmented by AI, we developed a collaborative augmented reconstruction (CAR) platform for neuron reconstruction at scale. This platform allows for immersive interaction and efficient collaborative editing of neuron anatomy using a variety of devices, such as desktop workstations, virtual reality headsets and mobile phones, enabling users to contribute anytime and anywhere and to take advantage of several AI-based automation tools. We tested CAR's applicability for challenging mouse and human neurons toward scaled and faithful data production.
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Registered trials
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