• 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