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Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

Experimental biological model system outcomes such as altered animal movement capability or behaviour are difficult to quantify manually. Existing automatic movement tracking devices can be expensive and imposing upon the typical environment of the animal model. We have developed a novel multiplatfo...

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Autores principales: Rao, Srinivasa R., Olechnowicz, Sam W. Z., Krätschmer, Patrick, Jepson, James E. C., Edwards, Claire M., Edwards, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710427/
https://www.ncbi.nlm.nih.gov/pubmed/31451798
http://dx.doi.org/10.1038/s41598-019-48841-7
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author Rao, Srinivasa R.
Olechnowicz, Sam W. Z.
Krätschmer, Patrick
Jepson, James E. C.
Edwards, Claire M.
Edwards, James R.
author_facet Rao, Srinivasa R.
Olechnowicz, Sam W. Z.
Krätschmer, Patrick
Jepson, James E. C.
Edwards, Claire M.
Edwards, James R.
author_sort Rao, Srinivasa R.
collection PubMed
description Experimental biological model system outcomes such as altered animal movement capability or behaviour are difficult to quantify manually. Existing automatic movement tracking devices can be expensive and imposing upon the typical environment of the animal model. We have developed a novel multiplatform, free-to-use open-source application based on OpenCV, called AnimApp. Our results show that AnimApp can reliably and reproducibly track movement of small animals such as rodents or insects, and quantify parameters of action including distance and speed in order to detect activity changes arising from handling, environment enrichment, or temperature alteration. This system offers an accurate and reproducible experimental approach with potential for simple, fast and flexible analysis of movement and behaviour in a wide range of model systems.
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spelling pubmed-67104272019-09-13 Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp) Rao, Srinivasa R. Olechnowicz, Sam W. Z. Krätschmer, Patrick Jepson, James E. C. Edwards, Claire M. Edwards, James R. Sci Rep Article Experimental biological model system outcomes such as altered animal movement capability or behaviour are difficult to quantify manually. Existing automatic movement tracking devices can be expensive and imposing upon the typical environment of the animal model. We have developed a novel multiplatform, free-to-use open-source application based on OpenCV, called AnimApp. Our results show that AnimApp can reliably and reproducibly track movement of small animals such as rodents or insects, and quantify parameters of action including distance and speed in order to detect activity changes arising from handling, environment enrichment, or temperature alteration. This system offers an accurate and reproducible experimental approach with potential for simple, fast and flexible analysis of movement and behaviour in a wide range of model systems. Nature Publishing Group UK 2019-08-26 /pmc/articles/PMC6710427/ /pubmed/31451798 http://dx.doi.org/10.1038/s41598-019-48841-7 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rao, Srinivasa R.
Olechnowicz, Sam W. Z.
Krätschmer, Patrick
Jepson, James E. C.
Edwards, Claire M.
Edwards, James R.
Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title_full Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title_fullStr Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title_full_unstemmed Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title_short Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)
title_sort small animal video tracking for activity and path analysis using a novel open-source multi-platform application (animapp)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710427/
https://www.ncbi.nlm.nih.gov/pubmed/31451798
http://dx.doi.org/10.1038/s41598-019-48841-7
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