Automatic Detection of Synaptic Partners in a Whole-Brain Drosophila EM Dataset

Autor: Buhmann, Julia, Sheridan, Arlo, Malin-Mayor, Caroline, Schlegel, Philipp, Gerhard, Stephan, Kazimiers, Tom, Krause, Renate, Nguyen, Tri M., Heinrich, Larissa, Lee, Wei-Chung Allen, Wilson, Rachel, Saalfeld, Stephan, Jefferis, Gregory, Bock, Davi D., Turaga, Srinivas C., Cook, Matthew, Funke, Jan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nat Methods
Popis: We developed 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. Those 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 developed CircuitMap, a user interface add-on for the circuit annotation tool Catmaid.
Databáze: OpenAIRE