A hierarchical refinement algorithm for fully automatic gridding in spotted DNA microarray image processing

Document Type

Article

Publication Date

2-15-2007

Abstract

Gridding, the first step in spotted DNA microarray image processing, usually requires human intervention to achieve acceptable accuracy. We present a new algorithm for automatic gridding based on hierarchical refinement to improve the efficiency, robustness and reproducibility of microarray data analysis. This algorithm employs morphological reconstruction along with global and local rotation detection, non-parametric optimal thresholding and local fine-tuning without any human intervention. Using synthetic data and real microarray images of different sizes and with different degrees of rotation of subarrays, we demonstrate that this algorithm can detect and compensate for alignment and rotation problems to obtain reliable and robust results. © 2006 Elsevier Inc. All rights reserved.

Identifier

33751243931 (Scopus)

Publication Title

Information Sciences

External Full Text Location

https://doi.org/10.1016/j.ins.2006.07.004

ISSN

00200255

First Page

1123

Last Page

1135

Issue

4

Volume

177

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