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Title: A Robust Identification of the Protein Standard Bands in Two-Dimensional Electrophoresis Gel Images
Authors: Serackis, Artūras
Matuzevičius, Dalius
Navakauskas, Dalius
Šabanovič, Eldar
Katkevičius, Andrius
Plonis, Darius
Keywords: Biomedical imaging
Image analysis
Molecular biomarkers
proteins
quantization
Issue Date: 2017
Publisher: De Gruyter Open
Citation: Serackis, A.; Matuzevičius, D.; Navakauskas, D.; Šabanovič, E.; Katkevičius, A.; Plonis, D. 2017. A Robust Identification of the Protein Standard Bands in Two-Dimensional Electrophoresis Gel Images. Warsaw: De Gruyter Open. 13(1): 63-68
Series/Report no.: 13;1
Abstract: The aim of the investigation presented in this paper was to develop a software-based assistant for the protein analysis workflow. The prior characterization of the unknown protein in two-dimensional electrophoresis gel images is performed according to the molecular weight and isoelectric point of each protein spot estimated from the gel image before further sequence analysis by mass spectrometry. The paper presents a method for automatic and robust identification of the protein standard band in a two-dimensional gel image. In addition, the method introduces the identification of the positions of the markers, prepared by using pre-selected proteins with known molecular mass. The robustness of the method was achieved by using special validation rules in the proposed original algorithms. In addition, a self-organizing map-based decision support algorithm is proposed, which takes Gabor coefficients as image features and searches for the differences in preselected vertical image bars. The experimental investigation proved the good performance of the new algorithms included into the proposed method. The detection of the protein standard markers works without modification of algorithm parameters on two-dimensional gel images obtained by using different staining and destaining procedures, which results in different average levels of intensity in the images.
URI: http://dspace.vgtu.lt/handle/1/3549
ISSN: 2255-9159
Appears in Collections:Moksliniai straipsniai / Research articles

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