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Application of Image Processing Algorithms in Proteomics: Automatic Analysis of 2-D Gel Electrophoresis Images from Western Blot Assay

机译:图像处理算法在蛋白质组学中的应用:Western印迹法自动分析二维凝胶电泳图像

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Studying changes in the cell after treatment by a potentially genotoxic agent is a very important approach in biological experimental techniques. A researcher in molecular biology can study the structure of cellular pathways related to responses to external agents stress, damage or ionizing radiation by measuring the amount of cellular species, such as certain proteins, RNA or DNA. For this aim the electrophoresis-based tests are widely used. In this paper we will focus on the Western blot assay for estimating the quantity of the proteins. Often such information is obtained by visual analysis of a gel, which is prejudicial and time-consuming. We developed a new, rapid and exact image processing method for automatic detection of the spots in 2-D gels and calculation the quantity of the protein produced by the cell. The proposed method can significantly reduce the time required for analysis. We have obtained very promising results with accuracy more than 96% allowing for automated analyzes of 2-D gel electrophoresis images.
机译:研究用潜在的遗传毒性剂处理后的细胞变化是生物实验技术中非常重要的方法。分子生物学研究人员可以通过测量细胞种类(例如某些蛋白质,RNA或DNA)的数量来研究与外界因素对压力,破坏或电离辐射的反应有关的细胞途径结构。为了这个目的,基于电泳的测试被广泛使用。在本文中,我们将专注于蛋白质印迹法以估计蛋白质的量。通常,这种信息是通过对凝胶的视觉分析而获得的,这是有偏见且耗时的。我们开发了一种新的,快速且精确的图像处理方法,用于自动检测二维凝胶中的斑点并计算细胞产生的蛋白质量。所提出的方法可以大大减少分析所需的时间。我们获得了非常有希望的结果,其准确度超过96%,可以对二维凝胶电泳图像进行自动分析。

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