| Literature DB >> 34168373 |
Julia Buhmann1,2, Arlo Sheridan1, Caroline Malin-Mayor1, Philipp Schlegel3, Stephan Gerhard4,5, Tom Kazimiers1, Renate Krause1,2, Tri M Nguyen4, Larissa Heinrich1, Wei-Chung Allen Lee6, Rachel Wilson4, Stephan Saalfeld1, Gregory S X E Jefferis3, Davi D Bock7, Srinivas C Turaga1, Matthew Cook2, Jan Funke8.
Abstract
We develop an automatic method for synaptic partner identification in insect brains and use it to predict synaptic partners in a whole-brain electron microscopy dataset of the fruit fly. The predictions can be used to infer a connectivity graph with high accuracy, thus allowing fast identification of neural pathways. To facilitate circuit reconstruction using our results, we develop CIRCUITMAP, a user interface add-on for the circuit annotation tool CATMAID.Entities:
Mesh：
Year: 2021 PMID： 34168373 PMCID： PMC7611460 DOI： 10.1038/s41592-021-01183-7
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547