Funke Lab Funke Lab

Synful

Synaptic Partner Detection in a Whole Fly Brain

Synful overview

Buhmann et al., 2021

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. The predictions can be used to infer a connectivity graph with high accuracy, thus allowing fast identification of neural pathways. Our synapse predictions are available in the FlyWire FAFB volume.

References

Automatic Detection of Synaptic Partners in a Whole-Brain Drosophila Electron Microscopy Data Set

Julia Buhmann, Arlo Sheridan, Caroline Malin-Mayor, Philipp Schlegel, Stephan Gerhard, Tom Kazimiers, Renate Krause, Tri M. Nguyen, Larissa Heinrich, Wei-Chung Allen Lee, Rachel Wilson, Stephan Saalfeld, Gregory S. X. E. Jefferis, Davi D. Bock, Srinivas C. Turaga, Matthew Cook, Jan Funke

Nature Methods · 2021

DOI Paper

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.