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

cDNA Microarray Data Normalization

Analysis of CDNA Microarray Images

Microarrays are part of a new class of biotechnologies that allow the monitoring of expression levels for thousands of genes simultaneously. Image analysis is an important aspect of microarray experiments, one that can have a potentially large impact on subsequent analyses, such as clustering or the identification of differentially expressed genes. This paper reviews a number of existing image ...

Joint coding-denoising optimization of noisy images

In this paper, we propose to study the problem of noisy source coding/denoising. The challenge of this problem is that a global optimization is usually difficult to perform as the global fidelity criterion needs to be optimized in the same time over the sets of both coding and denoising parameters. Most of the bibliography in this domain is based on the fact that, for a specific criterion, the ...

Automating the processing of cDNA microarray images

This work is concerned with the development of an automatic image processing tool for DNA microarray images. This paper proposes, implements and tests a new tool for cDNA image analysis. The DNAs are imaged as thousands of circularly shaped objects (spots) on the microarray image and the purpose of this tool is to correctly address their location, segment the pixels belonging to spots and extra...

Sub-grid Detection in DNA Microarray Images

Analysis of DNA microarray images is a crucial step in gene expression analysis, as it influences the whole process for obtaining biological conclusions. When processing the underlying images, accurately separating the subgrids is of supreme importance for subsequent steps. A method for separating the sub-grids is proposed, which aims to first, detect rotations in the images independently for t...