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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

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