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

Autor:	María del Rayo Graciela Guevara-Villa, Leopoldo Altamirano-Robles, Anabel Sánchez-Sánchez, Raquel Díaz-Hernández, Jorge Juárez
Rok vydání:	2021
Předmět:	Pixel business.industry Computer science Polyacrylamide Image segmentation chemistry.chemical_compound chemistry Position (vector) Histogram Line (geometry) Artificial intelligence business Biological system Polyacrylamide gel electrophoresis Interpolation
Zdroj:	Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030896904 IWAIPR
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::adc3f2714165ec80002390afd63d77c0 https://doi.org/10.1007/978-3-030-89691-1_30 Zobrazit plný text záznamu