Title :
The preliminary study on microarray automatic spot identification method
Author :
Guo-Chuan, Liu ; Lin, Lu ; Fujun, Sun
Author_Institution :
Beijing Entry-exit Inspection & Quarantine Bur., Beijing, China
Abstract :
Spot identification is of great importance in the process of microarray information analysis. In this paper, Based on the features of microarray image recognized, an automatic spot identification method using the deformable template technique is proposed. A deformable template model is constructed based on spot array. The shift, rotation and zoom of the template are denoted by several parameters. Energy function is defined and genetic algorithm is employed to search the optimal solution of the energy function, which results the best template match. Experiment results show that the method can match spots efficiently and accurately.
Keywords :
biomedical engineering; feature extraction; genetic algorithms; lab-on-a-chip; medical image processing; deformable template technique; energy function; feature extraction; genetic algorithm; microarray automatic spot identification; microarray image; microarray information analysis; spot array; Arrays; Brightness; Deformable models; Equations; Genetic algorithms; Mathematical model; Shape;
Conference_Titel :
Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4577-0076-7
DOI :
10.1109/ISBB.2011.6107677