Paper Info
Title
An automatic microarray image gridding technique based on continuous wavelet transform
Abstract
In the present study, a new gridding method based on continuous wavelet transform (CWT) was performed. Line profiles of x and y axis were calculated, resulting to 2 different signals. These signals were independently processed by means of CWT at 15 different levels, using daubechies 4 mother wavelet. A summation, point by point, was performed on the processed signals, in order to suppress noise and enhance spot's differences. Additionally, a wavelet based hard thresholding filter was applied to each signal for the task of alleviating the noise of the signals. 14 real microarray images were used in order to visually assess the performance of our gridding method. Each microarray image contained 4 sub-arrays, each sub-array 40x40 spots, thus, 6400 spots totally. Moreover, these images contained contamination areas. According to our results, the accuracy of our algorithm was 98% in all 14 images and in all spots. Additionally, processing time was less than 3 sec on a 1024×1024×16 microarray image, rendering the method a promising technique for an efficient and fully automatic gridding processing.
Year
DOI
Venue
2007
10.1007/978-3-540-74272-2_107
CAIP
Keywords
Field
DocType
mother wavelet,different level,different signal,automatic microarray image,continuous wavelet,new gridding method,gridding method,real microarray image,processed signal,microarray image,automatic gridding processing,microarrays,continuous wavelet transform
Computer vision,Pattern recognition,Computer science,Continuous wavelet transform,Artificial intelligence,Thresholding,Rendering (computer graphics),Wavelet
Conference
Volume
ISSN
Citations 
4673
0302-9743
2
PageRank 
References 
Authors
0.44
3
5
Name
Order
Citations
PageRank
Emmanouil Athanasiadis1357.30
Dionisis Cavouras222422.08
Panagiota Spyridonos322217.43
Ioannis Kalatzis412414.74
George Nikiforidis522521.70