FlyWire: online community for whole-brain connectomics.
FlyWire: online community for whole-brain connectomics.
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DOI：
10.1038/s41592-021-01330-0
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发表时间：
2022-01
期刊：
影响因子：
48
通讯作者：
Seung HS
中科院分区：
文献类型：
--
作者：
Dorkenwald S;McKellar CE;Macrina T;Kemnitz N;Lee K;Lu R;Wu J;Popovych S;Mitchell E;Nehoran B;Jia Z;Bae JA;Mu S;Ih D;Castro M;Ogedengbe O;Halageri A;Kuehner K;Sterling AR;Ashwood Z;Zung J;Brittain D;Collman F;Schneider-Mizell C;Jordan C;Silversmith W;Baker C;Deutsch D;Encarnacion-Rivera L;Kumar S;Burke A;Bland D;Gager J;Hebditch J;Koolman S;Moore M;Morejohn S;Silverman B;Willie K;Willie R;Yu SC;Murthy M;Seung HS
由于自动图像采集和分析的进步，具有10万或更多神经元的全脑连接组即将出现。全脑自动重建的校对将需要许多人年的努力，因为涉及大量的数据。在这里，我们介绍了FlyWire，一个在线社区，用于校对果蝇大脑中的神经回路，并解释了它的计算和社会结构是如何组织起来扩展到全脑连接组学的。通过协作编辑空间分块的超体素图，基于浏览器的3D交互式分割使得将校对分发给几乎位于世界任何地方的个人成为可能。编辑历史中的信息可以通过编程方式访问，用于各种用途，例如评估校对准确性或构建激励系统。一个开放的社区通过招募更多的参与者来加速校对，并通过要求信息共享来加速科学发现。我们演示了如何通过重建和分析机械感觉神经元的连接体来实现电路分析。
Due to advances in automated image acquisition and analysis, whole-brain connectomes with 100,000 or more neurons are on the horizon. Proofreading of whole-brain automated reconstructions will require many person-years of effort, due to the huge volumes of data involved. Here we present FlyWire, an online community for proofreading neural circuits in a Drosophila melanogaster brain, and explain how its computational and social structures are organized to scale up to whole-brain connectomics. Browser-based 3D interactive segmentation by collaborative editing of a spatially chunked supervoxel graph makes it possible to distribute proofreading to individuals located virtually anywhere in the world. Information in the edit history is programmatically accessible for a variety of uses such as estimating proofreading accuracy or building incentive systems. An open community accelerates proofreading by recruiting more participants and accelerates scientific discovery by requiring information sharing. We demonstrate how FlyWire enables circuit analysis by reconstructing and analysing the connectome of mechanosensory neurons.
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中枢机械感觉神经元振动编码和频率过滤的主动机制。
影响因子：
16.2
作者：
Azevedo AW;Wilson RI
通讯作者：
Wilson RI
影响因子：
48
作者：
Buhmann J;Sheridan A;Malin-Mayor C;Schlegel P;Gerhard S;Kazimiers T;Krause R;Nguyen TM;Heinrich L;Lee WA;Wilson R;Saalfeld S;Jefferis GSXE;Bock DD;Turaga SC;Cook M;Funke J
通讯作者：
Funke J
DOI：
10.1002/cne.24877
发表时间：
2020-08
期刊：
The Journal of comparative neurology
影响因子：
--
作者：
Kim H;Horigome M;Ishikawa Y;Li F;Lauritzen JS;Card G;Bock DD;Kamikouchi A
通讯作者：
Kamikouchi A
影响因子：
7.7
作者：
Cook, Geoffrey M. W.;Sousa, Catia;Keynes, Roger J.
通讯作者：
Keynes, Roger J.
影响因子：
9.2
作者：
Chiang, Ann-Shyn;Lin, Chih-Yung;Hwang, Jenn-Kang
通讯作者：
Hwang, Jenn-Kang