Application of a linear border detection algorithm to electrophoresis images
DOI:
https://doi.org/10.33936/isrtic.v3i2.2021Keywords:
digital image analysis, pattern recognition, algorithm, electrophoresis, ataxia.Abstract
The Electrophoresis Analysis software was developed as a requirement of the Center for Research and Reha-bilitation of Hereditary Ataxias (CIRAH in Spanish) in the city of Holguin, Cuba, motivated by the need to have a computer tool to support the diagnosis of this group of health conditions. The objective of the system is to facilitate and humanize the process of analyzing the DNA bands of the patients, resulting from the applica-tion of the agarose gel electrophoresis technique, with the purpose of facilitating the decision- making process of the specialists in charge of the process of diagnosis of Hereditary Ataxia in CIRAH. For the processing of the images obtained from the application of this tech- nique and the detection of the borders of the DNA bands, an algorithm was implemented, which modifies the one used by the professional GelMaster software with ob-jectives sim- ilar to that described above but inaccessible to the health center because of its high cost.Downloads
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References
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[2] «CIRAH,» [En línea]. Available: http://www.ataxiacubana.sld.cu/code/ataxia.html. [Úl- timo acceso: 25 09 2019].
[3] «CIRAH,» [En línea]. Available: http://www.ataxiacubana.sld.cu/code/historia.html. [Último acceso: 25 09 2019].
[4] J. J. Magaña, M. D. Vergara, M. Sierra-Martínez, E. García-Jiménez, A. Rodríguez y M. R. Gómez, «Análisis molecular de los repetidos CAG en pacientes mexicanos con ataxia espinocerebelosa tipo 2,» Gaceta Médica de México, n5, pp. 413-418, 2008.
[5] J. C. Prieto, O. L. Pedraza, M. Gómez y C. Durán, «Análisis molecular de la Ataxia de Friederich en Colombia,» Acta Neurológica Colombiana, vol. 20, n1, 2004.
[6] L. Velázquez Pérez, L. Almaguer Mederos, R. Santos Falcón, R. Hechavarría Pupo, G. Sánchez Cruz y M. Paneque Herrera, «Ataxia espinocerebelosa tipo 2en Cuba. Estudio del fenotipo electrofisiológico y su correlación con variables clínicas y moleculares,» Revista Neurológica, vol. 33, n12, pp. 1129-1136, 2001.
[7] F. Fierro Fierro, «Electroforesis de ADN,» Herramientas moleculares aplicadas en ecolo- gía: aspectos teóricos y prácticos, vol. 27, 2014.
[8] J. E. Elizondo y L. P. Maestre, «Fundamentos de procesamiento de imágenes,» de Docu- mentación Universidad Autónoma de Baja California, Unidad Tijuana, 2002.
[9] «Canny edge detection step by step in Python,» [En línea]. Available: https://towardsdatascience.com/canny-edge-detection-step-by-step-in-python- computer-vision-b49c3a2d8123 [Último acceso: 25 09 2019].
[10] I. Bajla, I. Hollander, S. Fluch, K. Burg, M. Collar, «An alternativ method for electropho- retic gel image analysis in the GelMaster software,» Computer methods and programs in biomedicine, n3, pp. 209-231, 2005.
Published
2019-10-10
How to Cite
[1]
Fernández Ochoa, Y., Lamoth Borrero, L., Machado Orges, M. and Velázquez Pérez, L. 2019. Application of a linear border detection algorithm to electrophoresis images. Informática y Sistemas. 3, 2 (Oct. 2019), 89–101. DOI:https://doi.org/10.33936/isrtic.v3i2.2021.
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Section
Regular Papers
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