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cDNA microarray is one of the most recent and important technology for exploring the genome. cDNA microarray image analysis aims to measure the intensity for each spot in the scanned image and this intensity represents the amount of a specific gene in the studied cell. It can affect subsequent analysis such as identification of differentially expressed genes. Microarray image analysis includes three...
Image processing is an important aspect of microarray experiments. Spots segmentation meaning to distinguish the spot signals from background pixels, is a critical step in microarray image processing. After analyzing other existing means of microarray segmentation, a new method based on region growing algorithm, mathematical morphology (MM) filtering and morphological processing is presented. And...
Complementary DNA microarray technology is a powerful tool in many areas. Usually a two channel microarray red-green (RG) image is obtained. Due to the nature of cDNA microarray technology, a number of impairments affect the cDNA microarray image before the analysis such as identification of differentially expressed genes. Microarray image processing plays a crucial role in the extraction and quantitative...
Image processing is an important aspect of microarray experiments. Spots segmentation, which is to distinguish the spot signals from background pixels, is a critical step in microarray image processing. After analyzing other means of microarray segmentation, a new method based on expectation maximization (EM) algorithm, mathematical morphological filtering and morphological processing is presented...
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