Microarray imaging is considered as an important tool for large scale analysis of gene expression. The accuracy of the gene expression depends on the experiment itself and further image processing. It's well known that the image analysis introduced during the experiment will greatly affect the accuracy of the gene expression. Microarray image analysis plays a potentially-arge impact on the gene detecting subsequent analysis (image segmentation, spot intensity and spot intensity extraction). In this paper, based on the characters of microarray images, the methods of microarray images' denoising and automatic-identification of the spot are reviewed.
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