Automated detection and analysis of foraging behavior in Caenorhabditis elegans
Automated detection and analysis of foraging behavior in Caenorhabditis elegans
复制标题
DOI：
10.1016/j.jneumeth.2008.01.027
复制
发表时间：
2008-06-15
影响因子：
3
通讯作者：
Schafer, William R.
中科院分区：
文献类型：
--
作者：
Huang, Kuang-Man;Cosman, Pamela;Schafer, William R.
觅食是秀丽隐杆线虫在探索其环境时产生的鼻子的快速，侧向运动。在本文中，我们提出了一种自动化的方法来检测和分析的视频序列中的线虫觅食行为。使用多种形态学图像处理方法来定位每张图像中蠕虫的精确鼻子位置。然后通过测量鼻子的弯曲角度和使用周期图调查整体弯曲曲线来检测觅食事件。我们测量觅食相关的参数，以前没有研究过。该算法在分类和表征与这种行为相关的基因突变方面具有应用。(c)2008 Elsevier B.V.保留所有权利。
Foraging is a rapid, side-to-side movement of the nose generated by Caenorhabditis elegans as it explores its environment. In this paper, we present an automated method to detect and analyze foraging behavior of C elegans in a video sequence. Several morphological image-processing methods are used to locate the precise nose position of the worm in each image. Then foraging events are detected by measuring the bending angle of the nose and investigating the overall bending curve using periodograms. We measure foraging-related parameters which have not previously been studied. The algorithm has applications in classifying and characterizing genetic mutations associated with this behavior. (c) 2008 Elsevier B.V. All rights reserved.