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Efficient automated microarray image analysis

机译:高效的自动化微阵列图像分析

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摘要

Microarray is a widely used method in molecular biology. The essential problems of microarray image analysis are to locate spots and quantify the intensity of each spots. Because of the rapid progress in gene technology, fully automated microarray image analysis is required to process thousands upon thousands images produced in hybridization experiments. In this paper we address an efficient and fully automated method to solve this problem. The only precondition of our method is that the spots are arrayed in a grid. An implemented program based on our method can cope with the following problems: global rotation of the grid, absence of grid spots, and local deviation of the spot from its specified grid position. In grid fitting step, we imported a method introduced in document layout analysis system to estimate the rotation angle and the grid unit size, spots location amplification is then performed to locate all the grid elements. And in quantification, we use the local threshold method to make the simplest integration method getting a reliable result. All algorithms used in the program can efficiently run without operator's intervention.
机译:微阵列是分子生物学中广泛使用的方法。微阵列图像分析的基本问题是定位斑点并量化每个斑点的强度。由于基因技术的飞速发展,需要全自动微阵列图像分析来处理杂交实验中产生的成千上万的图像。在本文中,我们解决了一种有效且完全自动化的方法来解决此问题。我们方法的唯一前提是斑点被排列在网格中。基于我们的方法的已实现程序可以解决以下问题:网格的整体旋转,不存在网格点以及该点与其指定网格位置的局部偏差。在网格拟合步骤中,我们引入了文档布局分析系统中引入的方法来估计旋转角度和网格单位大小,然后执行斑点位置放大以定位所有网格元素。并且在量化中,我们使用局部阈值方法使最简单的积分方法获得可靠的结果。程序中使用的所有算法都可以有效运行,而无需操作员干预。

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