An Improved 1-D Gel Electrophoresis Image Analysis System

  • Yassin Labyed
  • Naima Kaabouch
  • Richard R. Schultz
  • Brij B. Singh
  • Barry Milavetz
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 680)

Abstract

Images obtained through the gel electrophoresis technique contain important genetic information. However, due to degradations and abnormalities from which these images suffer, extracting this information can be a tedious task and may lead to reproducibility issues. Image processing techniques that are commonly used to analyze gel electrophoresis images require three main steps: band detection, band matching, and quantification. Although several techniques were proposed to automate all steps fully, gel image analysis still requires researchers to extract information manually. This type of extraction is time consuming and subject to human errors. This paper proposes a fully automated system to analyze the gel electrophoresis images. This system involves four main steps: lane separation, lane segmentation, band detection, and data quantification.

Keywords

1-D Gel electrophoresis Band detection Band matching Data quantification Image analysis Lane segmentation 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Yassin Labyed
  • Naima Kaabouch
    • 1
  • Richard R. Schultz
  • Brij B. Singh
  • Barry Milavetz
  1. 1.Department of Electrical Engineering, School of Engineering and MinesUniversity of North DakotaGrand ForksUSA

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