An automatic microarray image gridding technique based on continuous wavelet transform

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Technological Educational Institute of Athens
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2007 (EN)
An automatic microarray image gridding technique based on continuous wavelet transform (EN)

Σπυρίδωνος, Παναγιώτα Π. (EL)
Νικηφορίδης, Γεώργιος Σ. (EL)
Αθανασιάδης, Εμμανουήλ (EL)
Κάβουρας, Διονύσης Α. (EL)
Καλατζής, Ιωάννης (EL)

Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. (EL)

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. (EN)

full paper

Gridding (EN)
Microarrays (EN)
Μικροσυστοιχίες (EN)
Πλέγμα (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

International Conference of Computer Analysis of Images and Patterns (EN)



DOI 10.1007/978-3-540-74272-2_107

Springer Berlin Heidelberg (EN)

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