1 October 2007 Adaptive techniques for microarray image analysis with related quality assessment
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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.
© (2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Sebastiano Battiato, Sebastiano Battiato, Gianpiero Di Blasi, Gianpiero Di Blasi, Giovanni Maria Farinella, Giovanni Maria Farinella, Giovanni Gallo, Giovanni Gallo, Giuseppe Claudio Guarnera, Giuseppe Claudio Guarnera, } "Adaptive techniques for microarray image analysis with related quality assessment," Journal of Electronic Imaging 16(4), 043013 (1 October 2007). https://doi.org/10.1117/1.2816445 . Submission:
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