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Original Articles

Microarray subgrid detection: a novel algorithm

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Pages 669-678 | Received 21 Sep 2006, Accepted 14 Dec 2006, Published online: 02 Jul 2007
 

Abstract

A novel algorithm for detecting microarray subgrids is proposed. The only input to the algorithm is the raw microarray image, which can be of any resolution, and the subgrid detection is performed with no prior assumptions. The algorithm consists of a series of methods of spot shape detection, spot filtering, spot spacing estimation, and subgrid shape detection. It is shown to be able to divide images of varying quality into subgrid regions with no manual interaction. The algorithm is robust against high levels of noise and high percentages of poorly expressed or missing spots. In addition, it is proved to be effective in locating regular groupings of primitives in a set of non-microarray images, suggesting potential application in the general area of image processing.

Acknowledgements

This work was supported in part by an International Joint Project sponsored by the Royal Society of the UK and the National Natural Science Foundation of China.

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