FlyWire: Online community for whole-brain connectomics

Author:

Dorkenwald SvenORCID,McKellar ClaireORCID,Macrina ThomasORCID,Kemnitz NicoORCID,Lee Kisuk,Lu Ran,Wu JingpengORCID,Popovych Sergiy,Mitchell Eric,Nehoran Barak,Jia Zhen,Bae J. AlexanderORCID,Mu Shang,Ih Dodam,Castro Manuel,Ogedengbe Oluwaseun,Halageri Akhilesh,Ashwood Zoe,Zung Jonathan,Brittain DerrickORCID,Collman ForrestORCID,Schneider-Mizell CaseyORCID,Jordan Chris,Silversmith WilliamORCID,Baker Christa,Deutsch DavidORCID,Encarnacion-Rivera Lucas,Kumar Sandeep,Burke AustinORCID,Gager Jay,Hebditch James,Koolman Selden,Moore Merlin,Morejohn Sarah,Silverman Ben,Willie Kyle,Willie Ryan,Yu Szi-chieh,Murthy MalaORCID,Seung H. SebastianORCID

Abstract

ABSTRACTDue to advances in automated image acquisition and analysis, new whole-brain connectomes beyond C. elegans are finally 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 fly 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.

Publisher

Cold Spring Harbor Laboratory

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