• DocumentCode
    1816496
  • Title

    Computing phagocytosis index for high-throughput applications

  • Author

    Sebastian, Thomas ; Rittscher, Jens ; Yu, Liming

  • Author_Institution
    GE Global Res. Center, Niskayuna, NY
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    546
  • Lastpage
    549
  • Abstract
    Phagocytes defend us against infection by ingesting invading microorganisms. This process is called phagocytosis. Specific assays have been developed to monitor, for example, the effect of immunomodulatory drugs on phagocytosis. High-throughput microscopy is used to analyze entire studies. As it is simply infeasible to evaluate such large data sets, as usually produced by high-throughput microscopes, robust image analysis algorithms are needed. The proposed method is used to compute the phagocytosis index, a quantitative measurement which allows to analyze entire concentration studies. The focus of this paper is the development of an automatic approach that does not require any user-interactive parameter settings. In addition the method is capable of dealing with a wide range of image contrasts since the quality of the assay itself can vary. Both manual scoring and consistency with biological data are used to validate the results
  • Keywords
    cellular biophysics; medical image processing; microorganisms; high-throughput microscopy; image contrasts; immunomodulatory drugs; infection; microorganisms; phagocytes; phagocytosis index; robust image analysis algorithms; Algorithm design and analysis; Clustering algorithms; Drugs; Image analysis; Image segmentation; Immune system; Microorganisms; Microscopy; Monitoring; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1624974
  • Filename
    1624974