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

Abstract:

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.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Ou Q,Xiao J,Yu L,Wu K,Xiong B

doi

10.1186/s12859-020-3432-y

subject

Has Abstract

pub_date

2020-03-19 00:00:00

pages

117

issue

1

issn

1471-2105

pii

10.1186/s12859-020-3432-y

journal_volume

21

pub_type

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