1 October 2007 Adaptive techniques for microarray image analysis with related quality assessment
Author Affiliations +
J. of Electronic Imaging, 16(4), 043013 (2007). doi:10.1117/1.2816445
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.
Sebastiano Battiato, Gianpiero Di Blasi, Giovanni Maria Farinella, Giovanni Gallo, Giuseppe Claudio Guarnera, "Adaptive techniques for microarray image analysis with related quality assessment," Journal of Electronic Imaging 16(4), 043013 (1 October 2007). http://dx.doi.org/10.1117/1.2816445

Image segmentation

Image analysis

Quality measurement

Binary data

Image processing

Image processing algorithms and systems

Image quality

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