Identification of spots in rotated and skewed microarray images

Christopher Le Brese; Ju Jia Zou

doi:10.1117/1.3275459

1 December 2009 Identification of spots in rotated and skewed microarray images

Christopher Le Brese, Ju Jia Zou

Author Affiliations +

Optical Engineering, Vol. 48, Issue 12, 127003 (December 2009). https://doi.org/10.1117/1.3275459

Abstract

DNA microarray image processing has vast potential in the measurement of mass gene expression. A common approach to processing microarrays consists of spot identification, spot segmentation, and information extraction. We are concerned with spot identification. We aim to tackle the problem of identifying spots in rotated and skewed arrays via an automated process. The method proposed is composed of three steps, namely, array orientation calculation based on the Hough transform, affine calculation and correction, and gridding. The method is able to correctly identify spots in a microarray that has been rotated or skewed at an angle between 0 and ±30 deg and corrupted by various types of noise such as high-intensity streaks, Gaussian noise, and salt-and-pepper noise.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Christopher Le Brese and Ju Jia Zou "Identification of spots in rotated and skewed microarray images," Optical Engineering 48(12), 127003 (1 December 2009). https://doi.org/10.1117/1.3275459

Published: 1 December 2009

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