Detección de bandas en color en una imagen de electroforesis en gel de una dimensión usando un algoritmo de localización basado en máximos y mínimos

Abstract

This article describes a developed methodology on MATLAB for the images processing of the gel electrophoresis image in one dimension which contain information of insect antigens (Triatoma Dimidiata or Pito) and parasites (Fasciola). The proposed methodology permits to complement the visual interpretation of the images basing on contrast technics, heighten each of the bands and the implementation of filters to eliminate discontinuities; additionally, it’s proposed an algorithm of maximums and minimums for the automatic identification of each band. As a final result it’s obtained 5 color images, locating with a 100% efficiency the characteristic bands of the gel electrophoresis in comparison with their original patterns, complementing with a quasi-quantitative analysis of the sample amount of each of them in relation with the highest concentration band.