國家衛生研究院 NHRI:Item 3990099045/16270
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    题名: AI-powered home cage system for real-time tracking and analysis of rodent behavior
    作者: Hsieh, CM;Hsu, CH;Chen, JK;Liao, LD
    贡献者: Institute of Biomedical Engineering and Nanomedicine;Laboratory Animal Center
    摘要: Researchers in animal behavior and neuroscience devote considerable time to observing rodents behavior and physiological responses, with AI monitoring systems reducing personnel workload. This study presents the RodentWatch (RW) system, which leverages deep learning to automatically identify experimental animal behaviors in home cage environments. A single multifunctional camera and edge device are installed inside the animal's home cage, allowing continuous real-time monitoring of the animal's behavior, position, and body temperature for extended periods. We investigated identifying the drinking and resting behaviors of rats, with recognition accuracy enhanced through contextual object labeling and modified non-maximum suppression (NMS) schemes. Two tests-a light cycle change test and a sucrose preference test-were conducted to evaluate the usability of this system in rat behavioral experiments. This system enables notable advancements in image-based behavior recognition for living rodents.
    日期: 2024-11-15
    關聯: iScience. 2024 Nov 15;27(11):Article number 111223.
    Link to: http://dx.doi.org/10.1016/j.isci.2024.111223
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2589-0042&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:001356774800001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85208564587
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