• DocumentCode
    2495869
  • Title

    Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line

  • Author

    Ivan, Fransiskus X. ; Welsch, Roy E. ; Chow, Vincent T K ; Rajapakse, Jagath C.

  • Author_Institution
    Singapore-MIT Alliance, Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    6001
  • Lastpage
    6004
  • Abstract
    Neutrophils derived from induced-differentiated mouse promyleocyte (MPRO) cell lines provide an alternative source of mouse neutrophils for in vitro experiments, substituting for primary mouse neutrophils that are normally obtained by sacrificing mice. One issue with using induced-differentiated MPRO cells (or NEUTs) is that they are usually composed of not only mature neutrophils, but also neutrophil precursors. Here, we report on an assessment of an automated image analysis system to estimate mature neutrophil proportion in giemsa-stained NEUTs, and compare the accuracy with manual cell counting and flow cytometry results.
  • Keywords
    cellular biophysics; image classification; image segmentation; medical image processing; MPRO mouse promyelocytic cell line; automated image analysis system; flow cytometry; giemsa-stained NEUT; in-vitro experiment; induced-differentiated mouse promyleocyte cell lines; manual cell counting; mature neutrophil proportion; mouse neutrophils; Blood; Educational institutions; Extracellular; Image analysis; Image segmentation; Manuals; Mice; Algorithms; Animals; Cell Count; Cell Differentiation; Cell Line; Cell Tracking; Flow Cytometry; Granulocyte Precursor Cells; Image Enhancement; Image Interpretation, Computer-Assisted; Mice; Neutrophils; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091483
  • Filename
    6091483