title: Pixel-based analysis of multiple images for the identification of changes: a novel approach applied to unravel proteome patterns [corrected] of 2-D electrophoresis gel images.
abstract: A novel approach for revealing patterns of proteome variation among series of 2-DE gel images is presented. The approach utilises image alignment to ensure that each pixel represents the same information across all gels. Gel images are normalised, and background corrected, followed by unfolding of the images to 1-D pixel vectors and analysing pixel vectors by multivariate data modelling. Information resulting from the data analysis is refolded back to the image domain for visualisation and interpretation. The method is rapid and suitable for automatic routines applied after the gel alignment. The approach is compared with spot volume analysis to illustrate how this approach can solve persistent problems like mismatch of protein spots, erroneous missing values and failure to detect variation in overlapping proteins. The method may also detect variation in the border area of saturated proteins. The approach is given the name pixel-based analysis of multiple images for the identification of changes (PMC). The method can be used for multiple images in general. Effects of pretreatment of the images are discussed.
authors.affiliation: Matforsk AS, Norwegian Food Research Institute, As, Norway. ellen.mosleth.fargestad@matforsk.no
authors.forename: Ellen Mosleth
authors.initials: EM
authors.lastname: Faergestad
authors.forename: Morten
authors.initials: M
authors.lastname: Rye
authors.forename: Beata
authors.initials: B
authors.lastname: Walczak
authors.forename: Lars
authors.initials: L
authors.lastname: Gidskehaug
authors.forename: Jens Petter
authors.initials: JP
authors.lastname: Wold
authors.forename: Harald
authors.initials: H
authors.lastname: Grove
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Jia
authors.forename: Kristin
authors.initials: K
authors.lastname: Hollung
authors.forename: Ulf G
authors.initials: UG
authors.lastname: Indahl
authors.forename: Frank
authors.initials: F
authors.lastname: Westad
authors.forename: Frans
authors.initials: F
authors.lastname: van den Berg
authors.forename: Harald
authors.initials: H
authors.lastname: Martens
mesh_terms: D000465:Algorithms; D000818:Animals; D002417:Cattle; D015180:Electrophoresis, Gel, Two-Dimensional / Q000295:instrumentation / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D015999:Multivariate Analysis; D010363:Pattern Recognition, Automated / Q000379:methods*; D020543:Proteome / Q000032:analysis*
chemical_list: D020543:Proteome