Image Segmentation Applied to Line Separation and Determination of GPN2 Protein Overexpression for Its Detection in Polyacrylamide Gels

Anewmethodwas developed that allows analyzing the intensity profile of the histogram of an image of polyacrylamide gels within a binary mask of 1 x 400 pixels traversing the 600 pixels of a polyacrylamide gel image to detect the lanes that correspond to the different experiments present in the gel and, a mask of 1 x 50 pixels in the line desired to find the band related to specific proteins. The method also makes it possible to identify which lane has the highest and lowest overexpression of the studied protein. The proposed line detection method allows finding the position of the bands within a lane and, based on the loading buffer and interpolation methods the molecular weight of the protein of biological interest studied can be predicted. The article shows the results of the proposed method for the GPN2 protein.