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SNT:神经元解剖结构定量分析的统一工具包。

SNT: a unifying toolbox for quantification of neuronal anatomy.

机构信息

Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.

CASUS-Center for Advanced Systems Understanding, Görlitz, Germany.

出版信息

Nat Methods. 2021 Apr;18(4):374-377. doi: 10.1038/s41592-021-01105-7. Epub 2021 Apr 1.

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.

摘要

SNT 是一个用于神经元形态计量学和全脑连接组学的端到端框架,支持神经解剖结构的追踪、校对、可视化、量化和建模。凭借开放架构、庞大的用户基础、基于社区的文档、对复杂图像的支持以及多种模式生物,SNT 是广大神经科学界的一个灵活资源。SNT 既是一个桌面应用程序,也是一个多语言脚本库,可通过 Fiji 版的 ImageJ 获取。

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