Abstract

Proteomics is a field which studies large scale analysis of proteins. Two dimensional gel electrophoresis (2DGE) is\na technique used to study protein expression in this field. Large number of protein spots are separated on the basis of their\nmolecular weight and isoelectric point. 2DGE images have non-linear background and are noisy. A complete automated\nsystem is required for the analysis of 2DGE images. Efficient Image pre-processing is the major challenge involved. We use\nthe Fast Independent Component analysis for denoising the two dimensional Gel Electrophoresis Images. We have used Fast\nIndependent component analysis method for denoising when there are different kind of noise present in 2D gel\nElectrophoresis Images. The results are compared with the performance of other denoising method like Wavelet based\ndenoising of images.