Color Bands Detection on a Gel Electrophoresis Image in one Dimension Applying a Location Algorithm Based on Maximums and Minimums
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 interpret...
| Autor Principal: | Salazar-Centeno, Cesar Augusto; Universidad Industrial de Santander. Bucaramanga, Colombia |
|---|---|
| Otros Autores: | Niño-Niño, Carlos Andrés; Universidad Manuela Beltrán. Bucaramanga, Colombia, Díaz-Suárez, Ricardo Andrés; Universidad Santo Tomás. Bucaramanga, Colombia |
| Formato: | info:eu-repo/semantics/article |
| Idioma: | spa |
| Publicado: |
Universidad Santo Tomás. Seccional Bucaramanga
2017
|
| Materias: | |
| Acceso en línea: |
http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/1766 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: |
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. |
|---|