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  • Research Article
  • Open Access

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

EURASIP Journal on Advances in Signal Processing20052005:968352

https://doi.org/10.1155/ASP.2005.2229

  • Received: 15 January 2004
  • Published:

Abstract

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.

Keywords

  • egg-laying
  • C. elegans
  • behaviors
  • image analysis
  • deformable template matching
  • computer vision

Authors’ Affiliations

(1)
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093-0407, USA
(2)
Division of Biological Sciences, University of California at San Diego, La Jolla, CA 92093-0349, USA

Copyright

© Geng et al. 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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