An improved 1-D gel electrophoresis image analysis system

Yassin Labyed, Naima Kaabouch, Richard R. Schultz, Brij B. Singh, Barry Milavetz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Computational Biology
EditorsHamid Arabnia
Pages609-617
Number of pages9
DOIs
StatePublished - Dec 1 2010
Externally publishedYes

Publication series

NameAdvances in Experimental Medicine and Biology
Volume680
ISSN (Print)0065-2598

Keywords

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

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Labyed, Y., Kaabouch, N., Schultz, R. R., Singh, B. B., & Milavetz, B. (2010). An improved 1-D gel electrophoresis image analysis system. In H. Arabnia (Ed.), Advances in Computational Biology (pp. 609-617). (Advances in Experimental Medicine and Biology; Vol. 680). https://doi.org/10.1007/978-1-4419-5913-3_67