Application of wavelet modulus maxima in microarray spots recognition

X H Wang; Robert S H Istepanian; Yong Hua Song

doi:10.1109/tnb.2003.816230

Application of wavelet modulus maxima in microarray spots recognition

IEEE Trans Nanobioscience. 2003 Dec;2(4):190-2. doi: 10.1109/tnb.2003.816230.

Authors

X H Wang¹, Robert S H Istepanian, Yong Hua Song

Affiliation

¹ 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

PMID: 15376908
DOI: 10.1109/tnb.2003.816230

Abstract

This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.

Publication types

Comparative Study
Evaluation Study
Validation Study

MeSH terms

Algorithms*
DNA / analysis*
DNA / chemistry
DNA / 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*

Substances

DNA