Key Laboratory of Image Processing and Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang, 330063, China.
BMC Bioinformatics. 2020 Mar 19;21(1):117. doi: 10.1186/s12859-020-3432-y.
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.
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.
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.
二维电泳（2DE）是比较蛋白质组学中应用最广泛的技术之一。2DE 的基本任务是通过对 2DE 图像的定量分析来识别差异蛋白表达。为了减少 2DE 图像中斑点定量的误差，本文提出了一种基于梯度间隔直方图（GIH）的新的亮度校正方法。
首先，提出 GIH 均衡化来增强蛋白质斑点的边缘，特别是 2DE 图像中的弱蛋白质斑点。其次，为了消除整体亮度偏移，应用 GIH 匹配来比较需要比较的 2DE 图像。最后，通过主观质量评估和真实 2DE 图像中蛋白质斑点的定量分析验证了所提出的方法。
实验结果表明，所得图像对中对应蛋白质斑点的定量平均误差小于 3%，明显优于现有方法。
