SyConn2: dense synaptic connectivity inference for volume electron microscopy.
Nat Methods
; 19(11): 1367-1370, 2022 11.
Article
en En
| MEDLINE
| ID: mdl-36280715
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.
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Bases de datos:
MEDLINE
Asunto principal:
Conectoma
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2022
Tipo del documento:
Article
País de afiliación:
Alemania