Nemo：一个分析线虫运动的计算工具
Nemo: a computational tool for analyzing nematode locomotion
摘要：
线虫秀丽隐杆线虫响应于一个令人印象深刻的范围内的化学，机械和热刺激，并被广泛用于研究介导化学感觉，mechanotransduction和thermosensory的分子机制。这些反应的主要行为输出表现为动物运动的改变。监测和检查这种变化需要工具来捕获和量化线虫运动的特征。在本文中，我们介绍了Nemo（线虫运动），一个计算效率和强大的二维目标跟踪算法的自动检测和分析的C。elegans运动该算法能够精确测量和特征提取线虫运动组件。此外，我们开发了一个图形用户界面，旨在促进运动数据的处理和解释。而在本研究中，我们主要关注C. elegans，我们的方法可以很容易地适应处理复杂的运动行为模式，包括额外的运动特征和参数进行量化。我们的软件工具提供了通过处理简单的视频文件来提取、分析和测量线虫运动特征的能力。通过精确和定量评估行为特征，该工具将有助于遗传解剖和阐明特定行为反应的分子机制。
英文摘要：
The nematode Caenorhabditis elegans responds to an impressive range of chemical, mechanical and thermal stimuli and is extensively used to investigate the molecular mechanisms that mediate chemosensation, mechanotransduction and thermosensation. The main behavioral output of these responses is manifested as alterations in animal locomotion. Monitoring and examination of such alterations requires tools to capture and quantify features of nematode movement. In this paper, we introduce Nemo (nematode movement), a computationally efficient and robust two-dimensional object tracking algorithm for automated detection and analysis of C. elegans locomotion. This algorithm enables precise measurement and feature extraction of nematode movement components. In addition, we develop a Graphical User Interface designed to facilitate processing and interpretation of movement data. While, in this study, we focus on the simple sinusoidal locomotion of C. elegans, our approach can be readily adapted to handle complicated locomotory behaviour patterns by including additional movement characteristics and parameters subject to quantification. Our software tool offers the capacity to extract, analyze and measure nematode locomotion features by processing simple video files. By allowing precise and quantitative assessment of behavioral traits, this tool will assist the genetic dissection and elucidation of the molecular mechanisms underlying specific behavioral responses.
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