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In proteomics, two dimensional gel electrophoresis (2–DE) is a separation technique for proteins.
Gel electrophoresis is registered and the final digital image is computer analyzed for protein spots finding; the protein spots can be detected by visual inspection of a digital gel image or by image processing algorithm. On computer image analysis, difficulties arise from image noise, spot saturation and irregular geometric distortions.
Aiming at the automated analysis of large series of 2–DE images, the bottleneck is to solve the two most basic algorithmic problems: identifying protein spots and computing the protein spots map in order to compare it to database or different image.
We developed a robust Analysis of Variance (ANOVA) based algorithm able to excite spot in order to be easy found and separated by classic algorithm as edge detection or watershed. The implementation is done in a client standalone application called VisualBio.