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  SNT: a unifying toolbox for quantification of neuronal anatomy.

Arshadi, C., Günther, U., Eddison, M., Harrington, K., & Ferreira, T. A. (2021). SNT: a unifying toolbox for quantification of neuronal anatomy. Nature methods, 18(4), 374-377. doi:10.1038/s41592-021-01105-7.

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 Creators:
Arshadi, Cameron, Author
Günther, Ulrik1, Author           
Eddison, Mark, Author
Harrington, Kyle, Author
Ferreira, Tiago A, Author
Affiliations:
1Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: SNT is an end-to-end framework for neuronal morphometry and whole-brain connectomics that supports tracing, proof-editing, visualization, quantification and modeling of neuroanatomy. With an open architecture, a large user base, community-based documentation, support for complex imagery and several model organisms, SNT is a flexible resource for the broad neuroscience community. SNT is both a desktop application and multi-language scripting library, and it is available through the Fiji distribution of ImageJ.

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 Dates: 2021-04-01
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1038/s41592-021-01105-7
Other: cbg-8041
PMID: 33795878
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Title: Nature methods
  Other : Nat Methods
Source Genre: Journal
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Pages: - Volume / Issue: 18 (4) Sequence Number: - Start / End Page: 374 - 377 Identifier: -