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Proceedings Paper

A biomimetic algorithm for the improved detection of microarray features
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Paper Abstract

One the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. Whatever the source of these errors, those obtained in the first stage of data acquisition - segmentation - are passed down to the subsequent processes, with deleterious results. As it has been demonstrated recently that biological systems have evolved algorithms that are mathematically efficient, this contribution attempts to test an algorithm that mimics a bacterial-"patented" algorithm for the search of available space and nutrients to find, "zero-in" and eventually delimitate the features existent on the microarray surface.

Paper Details

Date Published: 19 February 2007
PDF: 7 pages
Proc. SPIE 6441, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues V, 64411C (19 February 2007); doi: 10.1117/12.725769
Show Author Affiliations
Dan V. Nicolau, Univ. of Oxford (United Kingdom)
Dan V. Nicolau, Liverpool Univ. (United Kingdom)
Philip K. Maini, Univ. of Oxford (United Kingdom)


Published in SPIE Proceedings Vol. 6441:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues V
Daniel L. Farkas; Robert C. Leif; Dan V. Nicolau, Editor(s)

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