ArticleNature methods2021
SNT: a unifying toolbox for quantification of neuronal anatomy.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 299 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
299 citing papers in PubMed.
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- Compensatory rearrangement of parvalbumin interneuron voltage-gated sodium channel subunits in a mouse model of Dravet syndrome.Epilepsia · 2026Article
- Asymmetric distribution of mitochondrial CaExperimental & molecular medicine · 2026Article
- Protocol for induction and quantification of injury-primed axon outgrowth in adult mouse DRG neurons.STAR protocols · 2026Article
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239 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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.
Indexed as
Identifiers
33795878What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.