NDLI: Biological assessment of grid and spot detection in cDNA microarray images

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Biological assessment of grid and spot detection in cDNA microarray images

Content Provider	ACM Digital Library
Author	Rezaeian, Iman Rueda, Luis
Abstract	One of the main issues of the analysis of microarray data is quantification of gene expression. The quantified signal intensities should be linearly related to the expression levels of the corresponding genes. In this paper, we present a biological assessment for detection and segmentation of grids and spots, and quantification of gene expression in cDNA microarray images. The results on several dilution steps on cDNA microarray images show that the proposed method can detect the location of the spots very effectively even for noisy conditions based on a parameterless multilevel thresholding algorithm. The proposed method can also segment and quantify the intensity of each probe with a nearly perfect degree of accuracy. This guarantees that the proposed method estimates the correct intensity of each spot with a high degree of accuracy and relates it to the expression levels of the corresponding genes very well.
Starting Page	12
Ending Page	19
Page Count	8
File Format	PDF
ISBN	9781450307963
DOI	10.1145/2147805.2147807
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-08-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Image analysis Microarray image gridding Multi-level thresholding Quantification Biological assessment Detection
Content Type	Text
Resource Type	Article

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