caa a22 4500 467936935 CHVBK 20180406153000.0 cr unu---uuuuu 170328e20061001xx s 000 0 eng 10.1007/s00138-006-0040-4 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0040-4 A noise-resistant algorithm for grid finding in microarray image analysis [Elektronische Daten] [Eugene Novikov, Emmanuel Barillot] 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. Springer-Verlag, 2006 Microarray image analysis nationallicence Automatic spot localization nationallicence Grid finding nationallicence Spot addressing nationallicence Novikov Eugene Service Bioinformatique, Institut Curie, 26 Rue d'Ulm, 75248, Paris Cedex 05, France aut Barillot Emmanuel Service Bioinformatique, Institut Curie, 26 Rue d'Ulm, 75248, Paris Cedex 05, France aut Machine Vision and Applications Springer-Verlag 17/5(2006-10-01), 337-345 0932-8092 17:5<337 2006 17 138 https://doi.org/10.1007/s00138-006-0040-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0040-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Novikov Eugene Service Bioinformatique, Institut Curie, 26 Rue d'Ulm, 75248, Paris Cedex 05, France aut NATIONALLICENCE 700 1- Barillot Emmanuel Service Bioinformatique, Institut Curie, 26 Rue d'Ulm, 75248, Paris Cedex 05, France aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/5(2006-10-01), 337-345 0932-8092 17:5<337 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer