Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set.
basic_science · Level V
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- Record sourced from PubMed, PMID 34168373.
- Also identified by DOI 10.1038/s41592-021-01183-7 and PMC identifier 7611460.
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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.
Medical subject headings
- Brain
- Image Processing, Computer-Assisted
- Synapses