• DocumentCode
    617466
  • Title

    Mitotic phase based detection of chromosome segregation errors in embryonic stem cells

  • Author

    El-Labban, A. ; Arteta, C. ; Zisserman, Andrew ; Bird, A.W. ; Hyman, Alan

  • Author_Institution
    Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    892
  • Lastpage
    895
  • Abstract
    The detection of chromosome segregation errors in mitosis is an important area of biological research. Due to the rarity and subtle nature of such errors in untreated cell lines, there is a need for automated, high-throughput systems for quantifying the rates at which such defects occur. This paper presents a novel approach to detecting subtle chromosome segregation errors in mitosis in embryonic stem cells, targeting two cases: misaligned chromosomes in a metaphase cell, and lagging chromosomes between anaphase cells. Our method builds on existing approaches for analysis of other cell lines (e.g. HeLa) which label mitotic phases through mitosis and detect substantial deviations from normal mitotic progression. We apply these to more challenging, denser, stem cell lines. Leveraging the mitotic phase labelling allows us to detect smaller, more subtle defects within mitosis. This results in a very high recall rate, as necessary for detection of such rare events.
  • Keywords
    biomedical optical imaging; cellular biophysics; medical image processing; segregation; HeLa cell line analysis; anaphase cell; biological research; chromosome segregation error detection; embryonic stem cell; metaphase cell; mitotic phase based detection; mitotic phase labelling; Cancer; Image segmentation; Labeling; Stem cells; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556619
  • Filename
    6556619