Adaptive techniques for microarray image analysis with related quality assessment

Sebastiano Battiato; Gianpiero Di Blasi; Giovanni Maria Farinella; Giovanni Gallo; Giuseppe Claudio Guarnera

doi:10.1117/1.2816445

1 October 2007 Adaptive techniques for microarray image analysis with related quality assessment

Sebastiano Battiato, Gianpiero Di Blasi, Giovanni Maria Farinella, Giovanni Gallo, Giuseppe Claudio Guarnera

Author Affiliations +

Journal of Electronic Imaging, Vol. 16, Issue 4, 043013 (October 2007). https://doi.org/10.1117/1.2816445

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)

Citation Download Citation

Sebastiano Battiato, Gianpiero Di Blasi, Giovanni Maria Farinella, Giovanni Gallo, and 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

Published: 1 October 2007

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available