• DocumentCode
    529229
  • Title

    Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery

  • Author

    Orikawa, Jo ; Tanaka, Toshiyuki

  • Author_Institution
    Dept. of Appl. Phys. & Physico-Inf., Keio Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    84
  • Lastpage
    88
  • Abstract
    Currently the existing computer analysis system for genomic drug discovery does not take it in to account that when cells are examined microscopically, excitation light or phosphor that is used on this occasion affects them adversely. We focused attention on phase microscope which can observe cells noninvasively. Until now, phase-contrast image has been difficult to process because recognition rate varies according to conditions, and for this, appropriate analyzing system has not been established. The study succeeded location of almost all cells. Moreover, we could segment 70 or 80 percent of those cells using hybrid watershed and region growing algorithm.
  • Keywords
    drugs; genomics; image segmentation; medical image processing; cell segmentation; genomic drug discovery; hybrid watershed; phase microscope; phase-contrast images; region growing algorithm; Drugs; Genomics; Image segmentation; Microscopy; Pixel; Shape; Transforms; Phase microscope; genomic drug discovery; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602436