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Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis


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.

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Correspondence to Wei Geng.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Geng, W., Cosman, P., Palm, M. et al. Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis. EURASIP J. Adv. Signal Process. 2005, 968352 (2005).

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