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2D electrophoresis image brightness correction based on gradient interval histogram
BACKGROUND: Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel br...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083059/ https://www.ncbi.nlm.nih.gov/pubmed/32192430 http://dx.doi.org/10.1186/s12859-020-3432-y |
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author | Ou, Qiaofeng Xiao, Jiabing Yu, Lei Wu, Kaizhi Xiong, Bangshu |
author_facet | Ou, Qiaofeng Xiao, Jiabing Yu, Lei Wu, Kaizhi Xiong, Bangshu |
author_sort | Ou, Qiaofeng |
collection | PubMed |
description | BACKGROUND: Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction method based on gradient interval histogram (GIH) is proposed in this paper. RESULTS: First, GIH equalization is proposed to enhance the protein spot edges, especially the weak protein spots in the 2DE image. Second, to eliminate the overall brightness shift, GIH matching is applied to the 2DE images that need to be compared. Finally, the proposed method is verified by subjective quality evaluation and quantitative analysis of protein spots in real 2DE images. CONCLUSIONS: The experimental results show that the average error of the quantification of corresponding protein spots in the resulting image pairs is less than 3%, which is significantly superior to that of the existing methods. |
format | Online Article Text |
id | pubmed-7083059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70830592020-03-23 2D electrophoresis image brightness correction based on gradient interval histogram Ou, Qiaofeng Xiao, Jiabing Yu, Lei Wu, Kaizhi Xiong, Bangshu BMC Bioinformatics Research Article BACKGROUND: Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction method based on gradient interval histogram (GIH) is proposed in this paper. RESULTS: First, GIH equalization is proposed to enhance the protein spot edges, especially the weak protein spots in the 2DE image. Second, to eliminate the overall brightness shift, GIH matching is applied to the 2DE images that need to be compared. Finally, the proposed method is verified by subjective quality evaluation and quantitative analysis of protein spots in real 2DE images. CONCLUSIONS: The experimental results show that the average error of the quantification of corresponding protein spots in the resulting image pairs is less than 3%, which is significantly superior to that of the existing methods. BioMed Central 2020-03-19 /pmc/articles/PMC7083059/ /pubmed/32192430 http://dx.doi.org/10.1186/s12859-020-3432-y Text en © The Author(s). 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ou, Qiaofeng Xiao, Jiabing Yu, Lei Wu, Kaizhi Xiong, Bangshu 2D electrophoresis image brightness correction based on gradient interval histogram |
title | 2D electrophoresis image brightness correction based on gradient interval histogram |
title_full | 2D electrophoresis image brightness correction based on gradient interval histogram |
title_fullStr | 2D electrophoresis image brightness correction based on gradient interval histogram |
title_full_unstemmed | 2D electrophoresis image brightness correction based on gradient interval histogram |
title_short | 2D electrophoresis image brightness correction based on gradient interval histogram |
title_sort | 2d electrophoresis image brightness correction based on gradient interval histogram |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083059/ https://www.ncbi.nlm.nih.gov/pubmed/32192430 http://dx.doi.org/10.1186/s12859-020-3432-y |
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