Department of Biological and Chemical Sciences, Theobald Science Center, New York Institute of Technology, Old Westbury, NY, USA.
Department of Brain & Cognitive Sciences, Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Methods Mol Biol. 2022;2468:357-373. doi: 10.1007/978-1-0716-2181-3_20.
Studies of C. elegans behavior have been crucial in identifying genetic pathways that control nervous system development and function, as well as basic principles of neural circuit function. Modern analysis of C. elegans behavior commonly relies on video recordings of animals, followed by automated image analysis and behavior quantification. Here, we describe two methods for recording and quantifying C. elegans behavior: a single-worm tracking approach that provides high-resolution behavioral data for individual animals and a multi-worm tracking approach that allows for quantification of the behavior of many animals in parallel. These approaches should be useful to a wide range of researchers studying the nervous system and behavior of C. elegans.
秀丽隐杆线虫行为的研究对于鉴定控制神经系统发育和功能的遗传途径以及神经回路功能的基本原理至关重要。秀丽隐杆线虫行为的现代分析通常依赖于动物的视频记录,然后进行自动图像分析和行为量化。在这里,我们描述了两种记录和量化秀丽隐杆线虫行为的方法:一种是单虫跟踪方法,它为单个动物提供高分辨率的行为数据;另一种是多虫跟踪方法,它允许同时量化许多动物的行为。这些方法应该对广泛研究秀丽隐杆线虫神经系统和行为的研究人员有用。