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一种用于小鼠运动活动分析的开源视频跟踪系统。

An open-source video tracking system for mouse locomotor activity analysis.

作者信息

Zhang Chen, Li Haiwen, Han Renzhi

机构信息

Department of Surgery, Davis Heart and Lung Research Institute, Biomedical Sciences Graduate Program, Biophysics Graduate Program, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.

出版信息

BMC Res Notes. 2020 Jan 30;13(1):48. doi: 10.1186/s13104-020-4916-6.

Abstract

OBJECTIVE

The ability to accurately and efficiently quantify mouse locomotor activity is essential for evaluating therapeutic efficacy and phenotyping genetically modified mice, in particular for the research of neuromuscular diseases. Our objective is to develop a program for video tracking of mice and locomotion analysis.

RESULTS

Here we describe a MATLAB program for video tracking of mice and locomotion analysis. The system is composed of a webcam, an open field, and a computer with MATLAB installed. Animal behavior is recorded by the webcam and the video is then analyzed for mouse position on each frame by a customized MATLAB code. The system has been tested for analyzing two or more mice simultaneously placed in individual chambers. The accumulative moving distance, velocity and thigmotaxis (percentage of time spending in the outer peripheral of the arena, which is commonly used as an index of anxiety) within a test period can be readily obtained. This system can be easily implemented in any laboratory as an in vivo locomotion assay to assess the neuromuscular abnormality of genetically modified animals and the impact of therapeutic interventions.

摘要

目的

准确、高效地量化小鼠运动活性的能力对于评估治疗效果和对基因工程小鼠进行表型分析至关重要,特别是在神经肌肉疾病的研究中。我们的目标是开发一个用于小鼠视频跟踪和运动分析的程序。

结果

在此,我们描述了一个用于小鼠视频跟踪和运动分析的MATLAB程序。该系统由一个网络摄像头、一个旷场和一台安装了MATLAB的计算机组成。动物行为由网络摄像头记录,然后通过定制的MATLAB代码分析视频中每一帧的小鼠位置。该系统已针对同时放置在单独实验箱中的两只或更多只小鼠进行了分析测试。在测试期内可以轻松获得累积移动距离、速度和趋触性(在旷场外周花费的时间百分比,通常用作焦虑指标)。该系统可以在任何实验室中轻松实现,作为一种体内运动分析方法,用于评估基因工程动物的神经肌肉异常以及治疗干预的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0081/6990588/45a489e9f62a/13104_2020_4916_Fig1_HTML.jpg

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