An Efficient Fully Automated Method for Gridding Microarray Images

F. Z. M. Labib, I. A. Fouad, M. Mabrouk, A. Sharawy
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引用次数: 13

Abstract

DNA microarray is a powerful tool and is widely used in genetics to monitor expression levels of thousands of genes in parallel. The gene expression process consists of three stages: gridding, segmentation and quantification. Grid- ding deals with finding areas in the microarray image which contain one spot using grid lines. This step can be done ma- nually or automatically. In this paper, we propose an efficient and simple automatic gridding method for microarray image analysis. This method was implemented using MATLAB software and found very effective for gridding arrays with low intensity, poor quality spotsand tested by a number of microarray images. Results show that this method gives high accu- racy of 76.9% improved to 98.6% when a preprocessing step is considered, rendering the method a promising technique for an efficient and automatic gridding the noisy microarray images.
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一种高效的全自动化微阵列图像网格化方法
DNA微阵列是一种强大的工具,在遗传学中被广泛用于并行监测数千个基因的表达水平。基因表达过程包括三个阶段:网格化、分割和量化。网格定位是利用网格线在微阵列图像中寻找包含一个点的区域。这一步可以手动或自动完成。本文提出了一种高效、简单的微阵列图像自动网格分析方法。该方法使用MATLAB软件实现,发现对于低强度,低质量点的网格阵列非常有效,并通过许多微阵列图像进行了测试。结果表明,该方法的栅格分割精度从76.9%提高到98.6%,是一种有效的自动栅格分割方法。
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