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啮齿动物行为分析的开源代码。

Open source code for behavior analysis in rodents.

作者信息

Hattori Satoko, Okumura Yoshihiro, Takao Keizo, Yamaguchi Yoko, Miyakawa Tsuyoshi

机构信息

Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Japan.

Neuroinformatics Unit, Integrative Computational Brain Science Collaboration Center, RIKEN Center for Brain Science, Wako, Japan.

出版信息

Neuropsychopharmacol Rep. 2019 Mar;39(1):67-69. doi: 10.1002/npr2.12047. Epub 2019 Jan 18.

DOI:10.1002/npr2.12047
PMID:30659767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7292282/
Abstract

AIM

We have conducted a series of behavioral tests, which cover a broad range of behavioral domains, on various strains of genetically engineered mice. For the behavioral screening, we have been using Image J plugins that we developed for most of the tests in the battery. Our behavioral analysis system with the plugins enables systematic and automated image analysis of behavior. The plugins are freely available on the "Mouse Phenotype Database" website (http://www.mouse-phenotype.org/software.html). Here, we release the source code of the plugins in a Git repository with the aim of promoting their use and expanding their functionality.

METHODS

We published the source code of the Image J plugins for behavioral analysis at Git repository (https://github.com/neuroinformatics). The source code for light/dark transition, elevated plus maze, open filed, T-maze, and fear conditioning tests was made publicly available in the repository.

CONCLUSIONS

The source code of the plugins for the behavioral tests as well as the pre-compiled binaries can be freely obtained. The open source code could promote the development and modification of the plugins for additional behavioral indices in these tests and for other behavioral tests.

摘要

目的

我们对多种基因工程小鼠品系进行了一系列行为测试,这些测试涵盖了广泛的行为领域。对于行为筛选,我们一直在使用为电池中的大多数测试开发的Image J插件。我们带有这些插件的行为分析系统能够对行为进行系统且自动化的图像分析。这些插件可在“小鼠表型数据库”网站(http://www.mouse-phenotype.org/software.html)上免费获取。在此,我们在一个Git仓库中发布这些插件的源代码,目的是促进其使用并扩展其功能。

方法

我们在Git仓库(https://github.com/neuroinformatics)发布了用于行为分析的Image J插件的源代码。明暗转换、高架十字迷宫、旷场、T迷宫和恐惧条件测试的源代码在该仓库中公开提供。

结论

行为测试插件的源代码以及预编译的二进制文件均可免费获取。开源代码可促进这些测试中用于其他行为指标以及其他行为测试的插件的开发和修改。

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