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Cited by 470

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

SNT: a unifying toolbox for quantification of neuronal anatomy

Open access
Arshadi, Cameron, Günther, Ulrik, Eddison, Mark, Harrington, Kyle I. S., Ferreira, Tiago A.·2021·Nature Methods

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. SNT is a toolbox neuronal morphometry and connectomics and provides various analysis, visualization, quantification and modeling tools.

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Crossref · 10.1038/s41592-021-01105-7

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Metadata

Authors
Arshadi, C., Günther, U., Eddison, M., Harrington, K. I. S., & Ferreira, T. A.
Venue
Nature Methods
Published
2021-04
Volume
18
Issue
4
Pages
374-377
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W3148916402
Cited by
470
References
55
FWCI
24.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: SNT: a unifying toolbox for quantification of neuronal anatomy. https://app.cochat.ai/papers/10.1038/s41592-021-01105-7
The paper
Arshadi, C., Günther, U., Eddison, M., Harrington, K. I. S., & Ferreira, T. A. (2021). SNT: a unifying toolbox for quantification of neuronal anatomy. Nature Methods. https://doi.org/10.1038/s41592-021-01105-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.