SyConn2: dense synaptic connectivity inference for volume electron microscopy.
Where this comes from
- Record sourced from PubMed, PMID 36280715.
- Also identified by DOI 10.1038/s41592-022-01624-x and PMC identifier 9636020.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The ability to acquire ever larger datasets of brain tissue using volume electron microscopy leads to an increasing demand for the automated extraction of connectomic information. We introduce SyConn2, an open-source connectome analysis toolkit, which works with both on-site high-performance compute environments and rentable cloud computing clusters. SyConn2 was tested on connectomic datasets with more than 10 million synapses, provides a web-based visualization interface and makes these data amenable to complex anatomical and neuronal connectivity queries.
Medical subject headings
- Connectome