• DocumentCode
    1320509
  • Title

    The quantification of blood cell motion by a method of automatic digital picture processing

  • Author

    Levine, Martin D. ; Youssef, Y.M. ; Noble, P.B. ; Boyarsky, A.

  • Author_Institution
    Dept. of Electrical Engng., McGill Univ., Montreal, Que., Canada
  • Issue
    5
  • fYear
    1980
  • Firstpage
    444
  • Lastpage
    450
  • Abstract
    In order to facilitate the study of cell movement, the paper introduces a new automatic picture processing method for tracking and quantifying the dynamics of blood cell motion. The input to the program is a 16 mm cine film of the cell culture viewed in a steady condition. Under the circumstances, the global directional movement tendencies of the group of cells under consideration can be characterized by a Markov chain model. By observing and quantifying the cell paths, it is possible, using this model, to determine the probability that the cell population is moving in a particular direction. This information might be of interest in the study of the effect of substances on cell movement, defects in white blood cell migration, and the general interaction among cells.
  • Keywords
    Markov processes; biomedical engineering; blood; picture processing; 16 mm cine film; Markov chain model; automatic digital picture processing; blood cell motion; dynamics; global directional movement; probability; Blood; Educational institutions; Films; Markov processes; Mathematical model; Tracking; Tumors; Biomedical image processing; cells; chemotaxis; dynamic pictures; movement; time varying;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1980.6592365
  • Filename
    6592365