title: Feature based fuzzy matching of 2D gel electrophoresis images.
abstract: Automatic alignment (matching) of two-dimensional gel electrophoresis images is of primary interest in the evolving field of proteomics. In the present study, feature-based matching techniques, in their classical and robust versions, are described, and an automatic method of fuzzy alignment (FA) is introduced. This method allows automatic matching of two gel images with different numbers of features with unknown correspondence. Performance of FA is tested on simulated and real data sets.
authors.affiliation: Institute of Chemistry, Silesian University, 9 Szkolna Street, 40-006 Katowice, Poland.
authors.forename: K
authors.initials: K
authors.lastname: Kaczmarek
authors.forename: B
authors.initials: B
authors.lastname: Walczak
authors.forename: S
authors.initials: S
authors.lastname: de Jong
authors.forename: B G M
authors.initials: BG
authors.lastname: Vandeginste
mesh_terms: D001331:Automation / Q000379:methods; D016208:Databases, Factual; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009010:Monte Carlo Method; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods*; D012867:Skin / Q000737:chemistry
chemical_list: D011506:Proteins