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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...

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Detalles Bibliográficos
Autores principales: Zhang, Chen, Li, Haiwen, Han, Renzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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.
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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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