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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

  • Received: 15 January 2004
  • Published:


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.


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

Authors’ Affiliations

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