• DocumentCode
    2076441
  • Title

    Methods for monitoring cellular motion and function

  • Author

    Padfield, Dirk ; Rittscher, Jens ; Roysam, Badrinath

  • Author_Institution
    GE Global Res., One Res. Circle, Niskayuna, NY
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    Automated cell phase analysis of live cells over extended time periods requires both novel assays and automated image analysis algorithms. We approach the tracking problem as a spatio-temporal volume segmentation problem, where the 2D slices are stacked into a volume with time as the z dimension. This extended abstract gives an overview of our approach and outlines how a robust tracking system for high-throughput screening can be designed.
  • Keywords
    biology computing; cellular biophysics; image motion analysis; image segmentation; automated cell phase analysis; cell segmentation; cell tracking; cellular function monitoring; cellular motion monitoring; image analysis; spatio-temporal volume segmentation problem; Algorithm design and analysis; Cells (biology); Fluorescence; Image analysis; Image quality; Image segmentation; Microscopy; Monitoring; Robustness; Tracking; Cell segmentation; cell tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074358
  • Filename
    5074358