An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement

TL;DR

This paper introduces a fully automated, high-accuracy system for analyzing DNA gel electrophoresis images, utilizing novel automatic thresholding and enhancement techniques to improve image quality and reproducibility.

Contribution

It presents a new automated analysis algorithm with a novel automatic thresholding method and enhancement for better image quality, addressing limitations of manual and semi-automatic processing.

Findings

Eliminates noise defects in average quality images

Improves quality of poor images with faint DNA bands

Achieves high accuracy in automated DNA and protein analysis

Abstract

Gel electrophoresis, a widely used technique to separate DNA according to their size and weight, generates images that can be analyzed automatically. Manual or semiautomatic image processing presents a bottleneck for further development and leads to reproducibility issues. In this paper, we present a fully automated system with high accuracy for analyzing DNA and proteins. The proposed algorithm consists of four main steps: automatic thresholding, shifting, filtering, and data processing. Automatic thresholding, used to equalize the gray values of the gel electrophoresis image background, is one of the novel operations in this algorithm. Enhancement is also used to improve poor quality images that have faint DNA bands. Experimental results show that the proposed technique eliminates defects due to noise for average quality gel electrophoresis images, while it also improves the quality of poor images.