• DocumentCode
    1890590
  • Title

    Automated characterization of amoeboid motility

  • Author

    Xiong, Yuan ; Iglesias, Pablo A.

  • Author_Institution
    Dept. Electr. & Comput. Eng., Johns Hopkins Univeristy, Baltimore, MD
  • fYear
    2009
  • fDate
    18-20 March 2009
  • Firstpage
    369
  • Lastpage
    370
  • Abstract
    Cells use a variety of methods to migrate. One of these, referred to as amoeboid motion, involves alternating cycles of morphological expansion and retraction. Employed by numerous mammalian cell lines including neutrophils and lymphocytes, it is also seen in the metastatic migration of some tumor cells. Amoeboid motility is best understood in the social amoeba Dictyostelium discoideum. It is a complex cellular process driven by highly-organized cytoskeletal dynamics containing numerous molecular species and regulated by an intricate signaling network. An important aspect of studying is to understand how the roles played by these molecules and signaling pathways are integrated. And a widely used approach is to characterize phenotype-specific morphological dynamics among various types of cells.
  • Keywords
    medical image processing; amoeboid motility automated characterization; morphological expansion; phenotype-specific morphological dynamics; signaling network; social amoeba Dictyostelium discoideum; Capacitive sensors; Cellular networks; Chemical processes; Image processing; Metastasis; Motion pictures; Shape; Signal processing; Skeleton; Tumors; Amoeboid motility; chemotaxis; image processing; pseudopodia; skeletonization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-2733-8
  • Electronic_ISBN
    978-1-4244-2734-5
  • Type

    conf

  • DOI
    10.1109/CISS.2009.5054747
  • Filename
    5054747