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One the major difficulties of microarray technology relate to the processing of large and - importantly - errorloaded 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.

Type

Conference paper

Publication Date

2007

Volume

6441

Pages

C4411 - C4411

Keywords

IMAGE