PDF(Pubmed)
Abstract：
Undisturbed home cage recording of mouse activity and behavior has received increasing attention in recent years. In parallel, several technologies have been developed in a bid to automate data collection and interpretation. Thanks to these expanding technologies, massive datasets can be recorded and saved in the long term, providing a wealth of information concerning animal wellbeing, clinical status, baseline activity, and subsequent deviations in case of experimental interventions. Such large datasets can also serve as a long-term reservoir of scientific data that can be reanalyzed and repurposed upon need. In this review, we present how the impact of Big Data deriving from home cage monitoring (HCM) data acquisition, particularly through Digital Ventilated Cages (DVCs), can support the application of the 3Rs by enhancing Refinement, Reduction, and even Replacement of research in animals.
摘要：
近年来，对小鼠活动和行为的不受干扰的家庭笼子记录受到越来越多的关注。并行,为了自动化数据收集和解释，已经开发了几种技术。由于这些不断扩展的技术，可以长期记录和保存大量数据集，提供大量有关动物健康的信息，临床状态，基线活动，以及实验干预情况下的后续偏差。这样的大数据集也可以作为科学数据的长期储备，可以根据需要重新分析和重新利用。在这次审查中,我们介绍了家庭笼子监测(HCM)数据采集产生的大数据的影响，特别是通过数字通风笼(DVC)，可以通过增强细化来支持3R的应用，Reduction,甚至取代动物研究。
