Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain.

ABSTRACT: Dense reconstruction of synaptic connectivity requires high-resolution electron microscopy images of entire brains and tools to efficiently trace neuronal wires across the volume. To generate such a resource, we sectioned and imaged a larval zebrafish brain by serial block-face electron microscopy at a voxel size of 14 × 14 × 25 nm³. We segmented the resulting dataset with the flood-filling network algorithm, automated the detection of chemical synapses and validated the results by comparisons to transmission electron microscopic images and light-microscopic reconstructions. Neurons and their connections are stored in the form of a queryable and expandable digital address book. We reconstructed a network of 208 neurons involved in visual motion processing, most of them located i

SUBMITTER: Svara F 

PROVIDER: S-EPMC9636024 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature