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Computer analysis of two‐dimensional electrophoresis gels: A new segmentation and modeling algorithm
Author(s) -
Bettens Eva,
Scheunders Paul,
Van Dyck Dirk,
Moens Luc,
Van Osta Peter
Publication year - 1997
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.1150180523
Subject(s) - spots , segmentation , computer science , mixture model , interpretation (philosophy) , gaussian , algorithm , two dimensional gel electrophoresis , pattern recognition (psychology) , gaussian network model , artificial intelligence , biological system , chemistry , proteomics , biochemistry , computational chemistry , biology , gene , programming language
The complexity of the spot patterns of two‐dimensional electrophoresis gels made it necessary to use image processing techniques to analyze the gels. An important issue in the analysis is the detection and quantification of the protein spots. In this paper we describe a new technique to segment and model the different spots. For the segmentation of a gel into its different spot regions we apply a watershed technique, which is robust and efficient. For the quantification of the spots, a new spot model is constructed, based on diffusion principles. Besides the advantage of having a physical interpretation, the model is demonstrated to be superior to the commonly used Gaussian models.