Color Bands Detection on a Gel Electrophoresis Image in one Dimension Applying a Location Algorithm Based on Maximums and Minimums
Keywords:
Algorithm, contrast, filtered, gel electrophoresis, maximums and minimums
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.Downloads
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References
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N. C. Stellwagen, “Electrophoresis of DNA in agarose gels, polyacrylamide gels and in free solution,” Electrophoresis, vol. 30, no. SUPPL. 1, 2009.
Á. G. Hernández, “Metabolismo lipídos, dislipemias,” in Principios de bioquímica clínica y patología molecular, 2014, pp. 170-178.
K. Jonak, K. Jędrasiak, A. Polański, and K. Puszyński, “Application of Image Processing Algorithms in Proteomics: Automatic Analysis of 2-D Gel Electrophoresis Images from Western Blot Assay,” in Computer Vision and Graphics, 2012, pp. 433-440.
A. Esquivel and J. Randall, “Optimización de la detección de cantidad, ancho y posición de bandas en imágenes de geles de electroforesis,” Hdl.handle.net, 2012.
R. S. Taher, N. Jamil, S. Nordin, F. H. Yusof, and U. M. Bahari, “Poor DNA gel electrophoresis image enhancement: Spatial vs. frequency domain filters,” in Proceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013, 2013, pp. 175-180.
A. Intarapanich, S. Kaewkamnerd, P. J. Shaw, K. Ukosakit, S. Tragoonrung, and S. Tongsima, “Automatic DNA Diagnosis for 1D Gel Electrophoresis Images using Bio-image Processing Technique,” BMC Genomics, vol. 16 Suppl 1, p. S15, 2015.
M. Hlavatý, “Preprocessing of 1D Gel Electrophoresis Image,” Proc. 20th Conf. STUDENT EEICT 2014, vol. 1, no. 1, pp. 61-63, 2014.
I. Ismail, G. S. Eltaweel, and H. Nassar, “Bands detection and Lanes segmentation in DNA Fingerprint images,” J. Inf. Comput. Sci., vol. 9, no. 4, pp. 243-251, 2014.
E. Leal and N. Leal, “Automatización de la Prueba HLA Mediante Análisis de Imágenes de Gel de Electroforesis Empleando Visión Artificial,” Prospect, vol. 1, no. 1, pp. 13-20, 2010.
N. La Serna Palomino and L. E. Pró Concepción, “Watershed: un algoritmo eficiente y flexible para segmentación de imágenes de geles 2-DE,” Rev. Investig. Sist. e Informática, vol. 7, no. 2, pp. 35-41, 2010.
H. Skutkova, M. Vitek, S. Krizkova, R. Kizek, and I. Provaznik, “Preprocessing and classification of electrophoresis gel images using dynamic time warping,” Int. J. Electrochem. Sci., vol. 8, no. 2, pp. 1609-1622, 2013.
T. Hassanzadeh, H. Vojodi, and A. M. E. Moghadam, “An image segmentation approach based on maximum variance Intra-cluster method and Firefly algorithm,” in Proceedings - 2011 7th International Confe rence on Natural Computation, ICNC 2011, 2011, vol. 3, pp. 1817-1821.
M. Wirth and D. Nikitenko, “The effect of colour space on image sharpening algorithms,” CRV 2010 - 7th Can. Conf. Comput. Robot Vis., pp. 79-85, 2010.
K. Zuiderveld, “Contrast Limited Adaptive Histogram Equalization,” in Graphics Gems, 1994, pp. 474-485.
J. Kuriakose, S. Ristic, and G. de Cremoux, “An automated toolbox for the design and analysis of lattice wave digital filters using MATLAB,” in IEE Colloquium on DSP enabled Radio, 2003, pp. 1-8.
J. W. Nilsson, “Filtros Activos,” in Circuitos Eléctricos, 2005, pp. 754-757.
P. Y. Tan and H. Ibrahim, “Implementation of Band Pass Filter for Homomorphic Filtering Technique,” Int. J. Comput. Sci. Mob. Appl., vol. 1, no. 5, pp. 1-6, 2013.
How to Cite
Salazar-Centeno, C., Niño-Niño, C., & Díaz-Suárez, R. (1). Color Bands Detection on a Gel Electrophoresis Image in one Dimension Applying a Location Algorithm Based on Maximums and Minimums. ITECKNE, 14(2), 122-130. https://doi.org/https://doi.org/10.15332/iteckne.v14i2.1766
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Research and Innovation Articles
