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使用新型开源多平台应用程序(AnimApp)进行小动物视频跟踪以进行活动和路径分析。

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

机构信息

Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

出版信息

Sci Rep. 2019 Aug 26;9(1):12343. doi: 10.1038/s41598-019-48841-7.

Abstract

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.

摘要

实验生物模型系统的结果,如动物运动能力或行为的改变,很难手动进行量化。现有的自动运动跟踪设备可能很昂贵,并且会对动物模型的典型环境造成影响。我们开发了一种新的多平台、免费使用的基于 OpenCV 的开源应用程序,称为 AnimApp。我们的结果表明,AnimApp 可以可靠且可重复地跟踪小型动物(如啮齿动物或昆虫)的运动,并量化动作参数,包括距离和速度,以检测因处理、环境丰富或温度变化引起的活动变化。该系统提供了一种准确且可重复的实验方法,具有在广泛的模型系统中简单、快速和灵活分析运动和行为的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1aa8/6710427/057f2c253dad/41598_2019_48841_Fig1_HTML.jpg

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