title: Minimizing variability in two-dimensional electrophoresis gel image analysis.
abstract: For reliable protein identification and quantitation, it is important to minimize the variability associated with two-dimensional electrophoresis (2-DE) analysis. Since experimental factors contribute largely to the variability observed in 2-DE, most studies have focused on reducing this variability with modest concern to the variability associated with post-experimental analyses. Although often ignored, software analyses of 2-DE gel images present a considerable source of variability in the analysis of proteins. In particular, cropping of gel images prior to quantitative 2-DE analysis has been shown to contribute a significant amount of variability in image analysis. To address this problem, we propose a simple, reliable, and objective method of cropping 2-DE gel images to consequently minimize the variability in 2-DE analysis.
authors.affiliation: Department of Pharmacology and Toxicology, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, 14214-3000, USA. sd33@buffalo.edu
authors.forename: Senthilkumar
authors.initials: S
authors.lastname: Damodaran
authors.forename: Richard A
authors.initials: RA
authors.lastname: Rabin
mesh_terms: D001330:Electronic Data Processing / Q000379:methods / Q000592:standards; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D011506:Proteins / Q000032:analysis*
chemical_list: D011506:Proteins