SyConn2: dense synaptic connectivity inference for volume electron microscopy
SyConn2: dense synaptic connectivity inference for volume electron microscopy
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Scope and Contents
Contents
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 cluster...
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Full title
SyConn2: dense synaptic connectivity inference for volume electron microscopy
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9636020
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9636020
Other Identifiers
ISSN
1548-7091,1548-7105
E-ISSN
1548-7105
DOI
10.1038/s41592-022-01624-x
