Abstract
We present an algorithm for automatic spot localization for microarray images with rectangular spot and block packing. As an input, the algorithm requires only the common array design parameters: number of block rows and columns and number of spot rows and columns within each block. It proved to be robust with respect to different types of contamination and can tolerate a high percentage of the missing spots. The validity of the developed algorithm has been tested and confirmed using a large set of images of various designs from different microarray platforms. Comparison with academic and commercial packages has shown that for uncontaminated images our algorithm performs similarly, whereas for certain problematic images it outperforms the other packages.
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Novikov, E., Barillot, E. A noise-resistant algorithm for grid finding in microarray image analysis. Machine Vision and Applications 17, 337–345 (2006). https://doi.org/10.1007/s00138-006-0040-4
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DOI: https://doi.org/10.1007/s00138-006-0040-4