Abstract

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