• DocumentCode
    2528181
  • Title

    Automated characterization of cellular migration phenomena

  • Author

    Beaudry, Christian ; Berens, Michael E. ; Doker, T.E. ; Joy, Anna M. ; Karam, Lina J. ; Lacroix, Zoé ; Lutfi, Jad A. ; Motoru, Sai ; Renaut, Rosemary A. ; Rich, Ian J.

  • Author_Institution
    Translalional Genomies Res. Inst., Phoenix. AZ, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    185
  • Lastpage
    186
  • Abstract
    A new approach for cell migration analysis is presented from an automated image segmentation and ROI-compression. ROI-compression is accomplished through classical edge detection technique, followed by image opening to help identify the cell-occupied image region. That region is then compressed for better archival and analysis, to more efficiently identify migration rate and dispersion. Combining our approach with compression techniques such as offered by JPEG2000 will enhance the analysis of the images by providing the ability to vary parameters, work on compressed domain including proximity-based clustering of cells and cell count, etc.
  • Keywords
    cell motility; data compression; edge detection; image coding; image segmentation; medical image processing; JPEG2000; ROI-compression; automated image segmentation; cell count; cellular migration phenomena; edge detection technique; image opening; proximity-based cell clustering; Bioinformatics; Biological system modeling; Bladder; Cancer; Image coding; Image edge detection; Image storage; Laboratories; Pathology; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.26
  • Filename
    1540591