基于非下采样contourlet变换和相干点漂移的二维凝胶电泳图像配准

Sagar Sudhakara, N. Patel, V. Gadre
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引用次数: 1

摘要

蛋白质组学是研究大规模蛋白质分析的科学领域。二维凝胶电泳(2DGE)是一种用于研究该领域蛋白质表达的技术。在2DGE过程中,根据分子量和等电点分离出大量的蛋白点。需要一个完整的自动化系统来分析2DGE图像。2DGE图像具有非线性背景和噪声。因此,图像配准和有效的预处理是蛋白质自动分析的主要挑战。采用非下采样Contourlet变换对2DGE图像进行去噪,然后采用相干点漂移(CPD)点集配准算法对2DGE图像进行配准。研究表明,基于NSCT的去噪改善了配准,并且优于现有的一些配准方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-subsampled contourlet transform & coherent point drift based registration of 2D gel electrophoresis images
Proteomics is a field of science which deals with large scale analysis of proteins. Two dimensional gel electrophoresis (2DGE) is a technique used to study protein expression in this field. In 2DGE process, large number of protein spots are separated on the basis of their molecular weight and isoelectric point. A complete automated system is required for the analysis of 2DGE images. 2DGE images have non-linear background and are noisy. Hence, Image Registration and efficient pre-processing are the major challenges involved in automated analysis of proteins. We have used the Non Sub-sampled Contourlet Transform for denoising of 2DGE images and then registration of 2DGE images is accomplished by Coherent Point Drift (CPD) point-set registration algorithm. It has been shown that NSCT based denoising improves registration and it outperforms some of the existing registration methods.
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