• DocumentCode
    431498
  • Title

    Effective apoptotic cell extraction from video microscopy images

  • Author

    Haseyama, Miki ; Sasamura, Yukari

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
  • Volume
    2
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    The paper presents an automatic extraction method for apoptotic cells from video microscopy images. Apoptosis, which is also called programmed cell death, is well-known to be closely related to various diseases. Detection of apoptotic cells can help scientists to study apoptosis and to reveal its mechanism, so that new medical technologies can be exploited. Scientists often analyze the images acquired by video microscopes with some sort of image analysis tools. However, it is usual that the performance of the tools is not enough to detect thoroughly the apoptotic cells, thus researchers have to detect apoptotic cells in the images manually. The paper proposes a method, based on their inherent shape features, to detect apoptotic cells automatically. The proposed method is applied to real world video microscopy images containing apoptotic cells and the results demonstrate its high performance to extract the cells successfully.
  • Keywords
    biomedical optical imaging; cellular biophysics; feature extraction; medical image processing; optical microscopy; video signal processing; apoptosis; apoptotic cell extraction; image analysis tools; programmed cell death; video microscopy images; Biomedical imaging; Data mining; Diseases; Image analysis; Information science; Optical microscopy; Organisms; Pathology; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415441
  • Filename
    1415441