Image analysis
Image analysis
复制标题
DOI：
10.1007/0-387-21866-1_4
复制
发表时间：
1989-09
期刊：
影响因子：
--
通讯作者：
L. Wojnar
中科院分区：
文献类型：
--
作者：
L. Wojnar
在将荧光标记的cdna分子与微阵列杂交后，用激光刺激该阵列，并在该阵列上的像素位置的密集网格处测量荧光强度。将创建存储所有像素级强度的图像文件。阵列上的像素比探测器多得多。图像分析是处理像素级数据并将其转换为阵列探头的强度测量的过程。有几种可用的图像分析方法，研究人员对所使用的方法有一些了解是有用的。我们首先简要描述基因表达阵列的图像是如何创建的。然后描述了图像分析的主要步骤：网格化、分割、背景校正、特征(信号)强度提取和标记剔除斑点。由于用于cDNA微阵列和Affymetrix GeneChipTM阵列的方法不同，我们将分别讨论这两种类型的阵列的上述步骤。
After hybridization of fluorescently labeled cDNA molecules to the microarray, the array is stimulated with a laser and the intensity of fluorescence is measured at a dense grid of pixel locations on the array. An image file is created that stores all of the pixel-level intensities. There are many more pixels than probes on the array. Image analysis is the procedure by which pixel level data are processed and converted to measures of intensity for the arrayed probes. There are several image analysis methods available and it is useful for the investigator to have some understanding of the approaches used. We begin with a brief description of how images of gene expression arrays are created. Then we describe the main steps of image analysis: gridding, segmentation, background correction, feature (signal) intensity extraction, and flagging spots for exclusion. Because the methods used for cDNA microarrays and Affymetrix GeneChipTM arrays are different, we discuss the above steps for the two types of arrays separately.