Evidence map›Paper›PMID 32192430›Full record

ArticleBMC bioinformatics2020

2D electrophoresis image brightness correction based on gradient interval histogram.

Qiaofeng Ou, Jiabing Xiao, Lei Yu, Kaizhi Wu, Bangshu Xiong

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qiaofeng OuKey Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China.
Jiabing XiaoKey Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China.
Lei YuKey Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China.
Kaizhi WuKey Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China.
Bangshu XiongKey Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China. xiongbs@126.com.

Funding

Aeronautical Science Foundation of China 20185756006Foundation of Key Laboratory of Image Processing and pattern Recognition of Jiangxi Province TX201504005National Natural Science Foundation of China 61462063, 61601216, 61602233Specialized Research Fund for the Doctoral Program of Higher Education of China (CN) EA201804229
6 · The paper itself

Abstract

backgroundTwo-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.

resultsFirst, 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.

conclusionsThe 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.

Indexed as

Electrophoresis, Gel, Two-DimensionalAlgorithmsImage Processing, Computer-AssistedProteinsProteomicsProteinsGradient interval histogramProtein spotSpot quantificationTwo-dimensional electrophoresis image

Identifiers

PMID32192430
PMCPMC7083059

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.