支持群体实验动物行为分析的RFID跟踪系统

L. Catarinucci, R. Colella, L. Mainetti, V. Mighali, L. Patrono, S. Pieretti, Ilaria Sergi, L. Tarricone
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引用次数: 9

摘要

动物跟踪和动物行为分析在生物医学学科中对研究新病理和新药物的作用具有至关重要的作用。有几种解决方案,基于不同的技术,如GPS,雷达和视觉,旨在获得动物跟踪系统,但它们主要在大型动物和室外环境存在时有效。不幸的是,当一群小实验动物必须在室内环境中进行监测时,它们表现不佳。在这种情况下,采用无源近场(NF)超高频(UHF)射频识别(RFID)技术似乎是一种成功的方法,尽管直接使用商业解决方案并不能保证令人满意的性能。具体来说,需要定制硬件和软件解决方案。这项工作的主要目标是介绍并验证一个可靠有效的实验室小鼠自动跟踪系统,该系统基于合适的NF - UHF RFID硬件捕获系统,并结合能够保证硬件控制,数据处理和报告的临时软件系统。特别是,通过选择最合适的RFID标签并通过手术将其植入实验室小鼠,已经进行了验证阶段。实验结果证明了所提出的解决方案的有效性,该方案能够收集动物运动的数据,并允许对其进行后续处理,以获得令人满意的行为分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An RFID tracking system supporting the behavior analysis of colonial laboratory animals
Animal tracking and animal behavior analysis have a crucial impact in biomedical disciplines to study new pathologies and effects of new drugs. There are several solutions, based on different technologies such as GPS, radar, and vision, designed to obtain animals tracking systems, but they are effective mainly in presence of large size animals and outdoor environment. Unfortunately, they show poor performance when groups of small laboratory animals have to be monitored in indoor environments. In such a context, the adoption of passive Near Field (NF) Ultra High Frequency (UHF) Radio Frequency Identification (RFID) technology seems to be a winning approach, even though the straightforward use of commercial solutions does not guarantee satisfactory performance. Specifically, customized hardware and software solutions are then required. The main goal of this work is to present the development and then to validate a reliable and effective system for the automatic tracking of laboratory mice, based on suited NF UHF RFID hardware capturing system combined with an ad hoc software system able to guarantee hardware control, data processing, and reporting. In particular, the validation phase has been carried out by selecting the most appropriate RFID tags and by surgically implanting them into laboratory mice. Experimental results have demonstrated the efficiency of the proposed solution, which is able to gather data on the animal movements, allowing their subsequent processing for a satisfactory behavioral analysis.
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