Document Detail


Microarray image enhancement by denoising using stationary wavelet transform.
MedLine Citation:
PMID:  15376907     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Microarray imaging is considered 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 noises introduced during the experiment will greatly affect the accuracy of the gene expression. How to eliminate the effect of the noise constitutes a challenging problem in microarray analysis. Traditionally, statistical methods are used to estimate the noises while the microarray images are being processed. In this paper, we present a new approach to deal with the noise inherent in the microarray image processing procedure. That is, to denoise the image noises before further image processing using stationary wavelet transform (SWT). The time invariant characteristic of SWT is particularly useful in image denoising. The testing result on sample microarray images has shown an enhanced image quality. The results also show that it has a superior performance than conventional discrete wavelet transform and widely used adaptive Wiener filter in this procedure.
Authors:
X H Wang; Robert S H Istepanian; Yong Hua Song
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Validation Studies    
Journal Detail:
Title:  IEEE transactions on nanobioscience     Volume:  2     ISSN:  1536-1241     ISO Abbreviation:  IEEE Trans Nanobioscience     Publication Date:  2003 Dec 
Date Detail:
Created Date:  2004-09-20     Completed Date:  2004-10-12     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101152869     Medline TA:  IEEE Trans Nanobioscience     Country:  United States    
Other Details:
Languages:  eng     Pagination:  184-9     Citation Subset:  IM    
Affiliation:
Mobile Information and Network Technologies Centre, School of Computing and Information Systems, Kingston University, London, Kingston Upon Thames KT1 2EE, UK. xin-heng.wang@kingston.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
DNA / analysis*,  chemistry,  genetics
Gene Expression Profiling / methods
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Microscopy, Fluorescence / methods*
Nanotechnology / methods
Oligonucleotide Array Sequence Analysis / methods*
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity
Sequence Analysis, DNA / methods
Signal Processing, Computer-Assisted*
Stochastic Processes
Chemical
Reg. No./Substance:
9007-49-2/DNA

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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