Ontology highlight
ABSTRACT:
SUBMITTER: Dorkenwald S
PROVIDER: S-EPMC8903166 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Dorkenwald Sven S McKellar Claire E CE Macrina Thomas T Kemnitz Nico N Lee Kisuk K Lu Ran R Wu Jingpeng J Popovych Sergiy S Mitchell Eric E Nehoran Barak B Jia Zhen Z Bae J Alexander JA Mu Shang S Ih Dodam D Castro Manuel M Ogedengbe Oluwaseun O Halageri Akhilesh A Kuehner Kai K Sterling Amy R AR Ashwood Zoe Z Zung Jonathan J Brittain Derrick D Collman Forrest F Schneider-Mizell Casey C Jordan Chris C Silversmith William W Baker Christa C Deutsch David D Encarnacion-Rivera Lucas L Kumar Sandeep S Burke Austin A Bland Doug D Gager Jay J Hebditch James J Koolman Selden S Moore Merlin M Morejohn Sarah S Silverman Ben B Willie Kyle K Willie Ryan R Yu Szi-Chieh SC Murthy Mala M Seung H Sebastian HS
Nature methods 20211223 1
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. Brow ...[more]