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An open-source video tracking system for mouse locomotor activity analysis
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 mic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6990588/ https://www.ncbi.nlm.nih.gov/pubmed/32000855 http://dx.doi.org/10.1186/s13104-020-4916-6 |
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author | Zhang, Chen Li, Haiwen Han, Renzhi |
author_facet | Zhang, Chen Li, Haiwen Han, Renzhi |
author_sort | Zhang, Chen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6990588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69905882020-02-04 An open-source video tracking system for mouse locomotor activity analysis Zhang, Chen Li, Haiwen Han, Renzhi BMC Res Notes Research Note 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. BioMed Central 2020-01-30 /pmc/articles/PMC6990588/ /pubmed/32000855 http://dx.doi.org/10.1186/s13104-020-4916-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Zhang, Chen Li, Haiwen Han, Renzhi An open-source video tracking system for mouse locomotor activity analysis |
title | An open-source video tracking system for mouse locomotor activity analysis |
title_full | An open-source video tracking system for mouse locomotor activity analysis |
title_fullStr | An open-source video tracking system for mouse locomotor activity analysis |
title_full_unstemmed | An open-source video tracking system for mouse locomotor activity analysis |
title_short | An open-source video tracking system for mouse locomotor activity analysis |
title_sort | open-source video tracking system for mouse locomotor activity analysis |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6990588/ https://www.ncbi.nlm.nih.gov/pubmed/32000855 http://dx.doi.org/10.1186/s13104-020-4916-6 |
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