title: Application of wavelet modulus maxima in microarray spots recognition.
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.
authors.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
authors.forename: X H
authors.initials: XH
authors.lastname: Wang
authors.forename: Robert S H
authors.initials: RS
authors.lastname: Istepanian
authors.forename: Yong Hua
authors.initials: YH
authors.lastname: Song
mesh_terms: D000465:Algorithms; D004247:DNA / Q000032:analysis* / Q000737:chemistry / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D036103:Nanotechnology / Q000379:methods; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods; D012815:Signal Processing, Computer-Assisted
chemical_list: D004247:DNA