Abstract
Complementary DNA (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. This paper presents a new algorithm that achieves an automated way for applying grid in the cDNA microarray images through the determination of spots position in the cDNA microarray and calculating the mean of every raw and column in the microarray image and the result will be a fast automated system for applying addressing (grid) on the microarray image without any human interaction and this automated system starts from the step that follow the sub microarray image cropping.
Highlights
CDNA microarray image analysis is a very important technology for genome mapping, it represent both biology and computers[1], microarray slide contain thousand of small spots each spot represent genetic material and these slides after they are scanned give images that contain colored spots each spot intensity represent the amount of the expression level of genes[2], these images because they contain large numbers of spots need to be analyzed in a very fast automated way and this analysis is very important in discovering the cause of diseases and the best drug to treat it
Microarray image grid and spot position determination is a very important step in the analysis of microarray image because it is the first part you need to do for the analysis and making this part automated and fast is important that’s why we propose our algorithm for microarray image grid and spot position determination
We will start discussion the algorithm from the step that follows resizing and cropping the sub determination since each pixel in the RGB image is determined by the combination of the red, green and blue intensities stored in each microarray that we want to analyze and in Fig. 3 we show the proposed algorithm flowchart
Summary
CDNA microarray image analysis is a very important technology for genome mapping , it represent both biology and computers[1], microarray slide contain thousand of small spots each spot represent genetic material and these slides after they are scanned give images that contain colored spots each spot intensity represent the amount of the expression level of genes[2], these images because they contain large numbers of spots need to be analyzed in a very fast automated way and this analysis is very important in discovering the cause of diseases and the best drug to treat it
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