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Journal of Electronic Imaging

Adaptive techniques for microarray image analysis with related quality assessment
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Paper Abstract

We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We propose the microarray image rotation algorithm (MIRA) and the statistical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray grid orientation and to detecting, the correct geometrical information about each spot of input microarray, respectively. Both solutions work by making use of statistical observations, obtaining adaptive and reliable information about each spot property. They improve the performance of the microarray image segmentation pipeline (MISP) we recently developed. MIRA, MISP, and SGRIP modules have been developed as plug-ins for an advanced framework for microarray image analysis. A new quality measure able to effectively evaluate the adaptive segmentation with respect to the fixed (e.g., nonadaptive) circle segmentation of each spot is proposed. Experiments confirm the effectiveness of the proposed techniques in terms of visual and numerical data.

Paper Details

Date Published: 1 October 2007
PDF: 20 pages
J. Electron. Imaging. 16(4) 043013 doi: 10.1117/1.2816445
Published in: Journal of Electronic Imaging Volume 16, Issue 4
Show Author Affiliations
Sebastiano Battiato, Univ. degli Studi di Catania (Italy)
Gianpiero Di Blasi, Univ. degli Studi di Catania (Italy)
Giovanni Maria Farinella, Univ. degli Studi di Catania (Italy)
Giovanni Gallo, Univ. degli Studi di Catania (Italy)
Giuseppe Claudio Guarnera, Univ. degli Studi di Catania (Italy)


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