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.