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EURASIP Journal on Advances in Signal Processing
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Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis

EURASIP Journal on Advances in Signal Processing volume 2005, Article number: 968352 (2005) Cite this article

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.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, 92093-0407, USA

    Wei Geng & Pamela Cosman

  2. Division of Biological Sciences, University of California at San Diego, La Jolla, CA, 92093-0349, USA

    Megan Palm & William R. Schafer

Authors
  1. Wei Geng
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  2. Pamela Cosman
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  3. Megan Palm
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  4. William R. Schafer
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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 ( https://creativecommons.org/licenses/by/2.0 ), 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). https://doi.org/10.1155/ASP.2005.2229

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

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