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Image Segmentation Applied to Line Separation and Determination of GPN2 Protein Overexpression for Its Detection in Polyacrylamide Gels

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Progress in Artificial Intelligence and Pattern Recognition (IWAIPR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13055))

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Abstract

A new method was developed that allows analyzing the intensity profile of the histogram of an image of polyacrylamide gels within a binary mask of 1 × 400 pixels traversing the 600 pixels of a polyacrylamide gel image to detect the lanes that correspond to the different experiments present in the gel and, a mask of 1 × 50 pixels in the line desired to find the band related to specific proteins. The method also makes it possible to identify which lane has the highest and lowest overexpression of the studied protein. The proposed line detection method allows finding the position of the bands within a lane and, based on the loading buffer and interpolation methods the molecular weight of the protein of biological interest studied can be predicted. The article shows the results of the proposed method for the GPN2 protein.

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Authors and Affiliations

  1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, 72840, México

    Jorge Juárez, Anabel Sánchez-Sánchez, Raquel Díaz-Hernández & Leopoldo Altamirano-Robles

  2. Universidad Politécnica de Puebla, San Mateo Cuanalá, 72640, México

    María del Rayo Graciela Guevara-Villa

Authors
  1. Jorge Juárez
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  2. María del Rayo Graciela Guevara-Villa
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  3. Anabel Sánchez-Sánchez
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  4. Raquel Díaz-Hernández
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  5. Leopoldo Altamirano-Robles
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Corresponding author

Correspondence to Anabel Sánchez-Sánchez .

Editor information

Editors and Affiliations

  1. Universidad de las Ciencias Informáticas, La Habana, Cuba

    Yanio Hernández Heredia

  2. Universidad de las Ciencias Informáticas, La Habana, Cuba

    Vladimir Milián Núñez

  3. Universidad de las Ciencias Informáticas, La Habana, Cuba

    José Ruiz Shulcloper

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Juárez, J., Guevara-Villa, M.d.R.G., Sánchez-Sánchez, A., Díaz-Hernández, R., Altamirano-Robles, L. (2021). Image Segmentation Applied to Line Separation and Determination of GPN2 Protein Overexpression for Its Detection in Polyacrylamide Gels. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2021. Lecture Notes in Computer Science(), vol 13055. Springer, Cham. https://doi.org/10.1007/978-3-030-89691-1_30

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  • DOI: https://doi.org/10.1007/978-3-030-89691-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89690-4

  • Online ISBN: 978-3-030-89691-1

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