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

被引:15
|
作者
Rao, Srinivasa R. [1 ,2 ]
Olechnowicz, Sam W. Z. [1 ,2 ]
Kratschmer, Patrick [3 ]
Jepson, James E. C. [3 ]
Edwards, Claire M. [2 ]
Edwards, James R. [1 ]
机构
[1] Univ Oxford, Botnar Res Ctr, Nuffield Dept Orthopaed Rheumatol & Musculoskelet, Oxford, England
[2] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England
[3] UCL Inst Neurol, Dept Clin & Expt Epilepsy, London, England
关键词
D O I
10.1038/s41598-019-48841-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:9
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