Implementation and evaluation of SDS-PAGE image analysis on a mobile app

SDS-PAGE is a common method in biochemistry, forensics, etc. to separate protein molecule in polyacrylamide gel. There are many tools used to analyze the gel image but most are costly and require a trained session. Smartphones have been integrated into education in aiding students to learn with visuals and friendly learning tools. This paper proposes a mobile application with capability in analyzing SDS-PAGE gel image to easily calculate the protein molecular weight anywhere and anytime. The SDS-PAGE gel image analysis on Android platform was compared between Thresholding Segmentation method on gray scale and Color Segmentation method on HSV color space. Based on the detection of gel bands, it has been found that the HSV Color Space method has fewer false negative rate than the Gray Scale method by 50%.