Caenorhabditis elegans egg-laying detection and behavior study using image analysis

Caenorhabditis elegans egg-laying detection and behavior study using image analysis
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DOI:
10.1155/asp.2005.2229
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发表时间:
2005-08-11
期刊:
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
影响因子:
--
通讯作者:
Schafer, WR
Schafer, WR
中科院分区:
其他
文献类型:
--
作者:
Geng, W;Cosman, P;Schafer, WR

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产卵是秀丽隐杆线虫(Cahabditis elegans,C. elegans)。以前的研究手动检查产卵事件。本文提出了一种利用变形模板匹配和其他形态学图像分析技术自动检测产蛋开始的方法。还研究了产卵事件周围的一些行为变化。结果表明,本文所开发的计算机视觉工具和算法可以有效地用于C。线虫产卵行为该算法是C语言机器视觉系统的重要组成部分。elegans跟踪和行为分析。
Egg laying is an important phase of the life cycle of the nematode Caenorhabditis elegans (C. elegans). Previous studies examined egg-laying events manually. This paper presents a method for automatic detection of egg-laying onset using deformable template matching and other morphological image analysis techniques. Some behavioral changes surrounding egg-laying events are also studied. The results demonstrate that the computer vision tools and the algorithm developed here can be effectively used to study C. elegans egg-laying behaviors. The algorithm developed is an essential part of a machine-vision system for C. elegans tracking and behavioral analysis.