SynEM, automated synapse detection for connectomics.
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ABSTRACT:
SUBMITTER: Staffler B
PROVIDER: S-EPMC5658066 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
Publications
SynEM, automated synapse detection for connectomics.
Staffler Benedikt B Berning Manuel M Boergens Kevin M KM Gour Anjali A Smagt Patrick van der PV Helmstaedter Moritz M
eLife 20170714
Nerve tissue contains a high density of chemical synapses, about 1 per µm<sup>3</sup> in the mammalian cerebral cortex. Thus, even for small blocks of nerve tissue, dense connectomic mapping requires the identification of millions to billions of synapses. While the focus of connectomic data analysis has been on neurite reconstruction, synapse detection becomes limiting when datasets grow in size and dense mapping is required. Here, we report SynEM, a method for automated detection of synapses fr ...[more]
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