DocumentCode
2714658
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
fYear
2011
fDate
3-5 Nov. 2011
Firstpage
186
Lastpage
190
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on
Conference_Location
Suzhou
Print_ISBN
978-1-4577-0076-7
Type
conf
DOI
10.1109/ISBB.2011.6107677
Filename
6107677
Link To Document