• DocumentCode
    3506019
  • Title

    Automated segmentation and alignment of mitotic nuclei for kymograph visualisation

  • Author

    Li, Simon ; Wakefield, James ; Noble, J. Alison

  • Author_Institution
    Dept of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    622
  • Lastpage
    625
  • Abstract
    The mechanics of many biological processes can only be uncovered through the analysis of spatio-temporal data. Kymographs are a popular tool for visualising dynamic processes whose movements can be mapped into a single dimension, such as mitosis, or cell division. However, global movements of a cell means the region of interest (ROI) used to create the kymograph must move with each frame. Here we present an automated algorithm for the selection of dynamic ROIs to allow the construction of kymographs of proteins associated with the mitotic spindle in Drosophila embryos. We segment a dividing nucleus using a level set coupled to a shape model, which we then use to align the segmented nuclei to a common frame of reference.
  • Keywords
    biochemistry; cellular biophysics; data visualisation; diagnostic radiography; image segmentation; medical image processing; molecular biophysics; physiological models; proteins; tumours; automated segmentation algorithm; cell division; drosophila embryos; image data; kymograph visualisation; mitotic nuclei; mitotic spindle; proteins; region-of-interest; shape model; tumourigenesis; Biological cells; Data visualization; Embryo; Image segmentation; Level set; Proteins; Shape; Cells (biology); Image segmentation; Microscopy; Visualisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872484
  • Filename
    5872484