Results 1 - 10 of 58

A Hill-climbing Approach for Automatic Gridding of cDNA Microarray Images

by Luis Rueda, Vidya Vidyadharan - IEEE/ACM Trans Comput Biol Bioinform , 2006
"... Image and statistical analysis are two important stages of cDNA microarrays. Of these, gridding is necessary to accurately identify the location of each spot while extracting spot intensities from the microarray images, and automating this procedure permits high-throughput analysis. Due to the de ..."
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Image and statistical analysis are two important stages of cDNA microarrays. Of these, gridding is necessary to accurately identify the location of each spot while extracting spot intensities from the microarray images, and automating this procedure permits high-throughput analysis. Due

FSL-based Hardware Implementation for Parallel Computation of cDNA Microarray Image Segmentation

by Bogdan Bot, Simina Emerich, Sorin Martoiu, Bogdan Belean
"... Abstract—The present paper proposes a FPGA based hardware implementations for microarray image processing algorithms in order eliminate the shortcomings of the existing software platforms: user intervention, increased computation time and cost. The proposed image processing algorithms exclude user i ..."
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Abstract—The present paper proposes a FPGA based hardware implementations for microarray image processing algorithms in order eliminate the shortcomings of the existing software platforms: user intervention, increased computation time and cost. The proposed image processing algorithms exclude user

1 Image Processing and Machine Learning Techniques for the Segmentation of cDNA Microarray Images

by Ikolaos Giannakeas, Dimitrios I. Fotiadis
"... Microarray technology allows the comprehensive measurement of the expression level of many genes simultaneously on a common substrate. Typical applications of microarrays include the quantification of expression profiles of a system under different experimental conditions, or expression profile comp ..."
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comparisons of two systems for one or more conditions. Microarray image analysis is a crucial step in the analysis of microarray data. In this chapter an extensive overview of the segmentation of the microarray image is presented. Methods already presented in the literature are classified into two main

RESEARCH ARTICLE A Combinational Clustering Based Method for cDNA Microarray Image Segmentation

by Guifang Shao, Tiejun Li, Wangda Zuo, Tundong Liu
"... Microarray technology plays an important role in drawing useful biological conclusions by analyzing thousands of gene expressions simultaneously. Especially, image analysis is a key step in microarray analysis and its accuracy strongly depends on segmentation. The pioneering works of clustering base ..."
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based segmentation have shown that k-means clustering algorithm and moving k-means clustering algorithm are two commonly used methods in microarray image processing. However, they usually face unsatisfactory results because the real microarray image contains noise, artifacts and spots that vary in size

Microarray Image Analysis based on an Evolutionary Approach

by Eleni Zacharia, Dimitirs Maroulis
"... Abstract 1 Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, accurate and automatic analysis of cDNA microarray images becomes crucial. In this paper, an automatic approach ..."
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Abstract 1 Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, accurate and automatic analysis of cDNA microarray images becomes crucial. In this paper, an automatic approach

A New Method to Grid Noisy cDNA Microarray Images Utilizing Denoising Techniques

by Islam A. Fouad, Mai S. Mabrouk, Amr A. Sharawy
"... DNA Microarray is an innovative tool for gene studies in biomedical research, and its applications can vary from cancer diagnosis to human identification. It is capable of testing and extracting the expression of large number of genes in parallel. The gene expression process is divided into three ba ..."
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is proposed for gridding noisy cDNA microarray images. In the real world, microarray image doesn’t reflect measures of the fluorescence intensities for the dye of interest only, as different kinds of noise and artifacts can be observed. In this paper, a novel gridding method based on projection is developed

segmentation of microarray images

by Gene Expression, Qunhua Li, Chris Fraley, Roger E. Bumgarner, Ka Yee Yeung, Adrian E. Raftery
"... Motivation: Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based method for processing microarray images so as to estimate foreground and background intensities. The method sta ..."
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when the spot is blank, namely when the BIC favors one group over two or three. Results: We apply our methods for gridding and segmentation to cDNA microarray images from an HIV infection experiment. In these experiments, our method had better stability across replicates than a fixed

CHAPTER 4.6 ADVANCED EVOLUTIONARY ALGORITHMS FOR INTELLIGENT MICROARRAY IMAGE ANALYSIS

by Eleni Zacharia, Dimitris Maroulis
"... cDNA microarrays, one of the most fundamental and powerful biotechnology tools, is being utilized in a variety of biomedical applications as it enables scientists to simultaneously analyze the expression levels of thousands of genes over different samples. One of the most essential processes of cDNA ..."
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cDNA microarrays, one of the most fundamental and powerful biotechnology tools, is being utilized in a variety of biomedical applications as it enables scientists to simultaneously analyze the expression levels of thousands of genes over different samples. One of the most essential processes of cDNA

MICROARRAY IMAGE GRIDDING VIA AN EVOLUTIONARY ALGORITHM

by Eleni Zacharia, Dimitris Maroulis, Member Ieee
"... Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human intervention which causes variations to the gene expression results. In this paper, an original and fully-automatic approach to ..."
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Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human intervention which causes variations to the gene expression results. In this paper, an original and fully-automatic approach

A Specific-domain Design Tool for FPGA-based Image and Video Processing System

by Noureddine Zhar, Mohamed Ait Ali, Mohsine Eleuldj, Amine Raji
"... The complexity of image processing algorithms using mathematical calculations grows from the nature of the image to be processed and the desired result. A hardware implementation of these algorithms for the needs of real-time and embedded systems improves performances. In this paper we present some ..."
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The complexity of image processing algorithms using mathematical calculations grows from the nature of the image to be processed and the desired result. A hardware implementation of these algorithms for the needs of real-time and embedded systems improves performances. In this paper we present some
Results 1 - 10 of 58