Neighborhood matrix: A new idea in matching of two dimensional gel images

Abstract

<span class="fontstyle0">Automated data analysis and pattern recognition techniques are the requirements of biological and proteomics<br />research studies. The analysis of proteins consists of some stages among which the analysis of two dimensional<br />electrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used in<br />future works such as image comparison. The researchers introduced a new method for matching two 2-DE gel<br />images. In this method, a neighborhood circular region is defined to obtain information about spots' neighbors. In<br />the present paper, the information obtained by this region is reordered into a matrix as a descriptor of the neighbors<br />of each spot. The matrix is then used in matching the spots between two images. All conducted tests to evaluate the<br />method's performance showed the power of the method in spot matching, even when the number of candidate<br />matching spots in the second images increased. The proposed method provides a robust automatic comparison idea<br />in gel images matching. Despite its low speed, its accuracy is excellent. The Novelty of the present study is the use<br />of matrices as neighborhood descriptor. This idea is applicable in any other similar domain.</span>