• DocumentCode
    636565
  • Title

    Quantitative Analysis of Lymphocytes Morphology and Motion in Intravital Microscopic Images

  • Author

    Yali Huang ; Zhiwen Liu ; Yonggang Shi ; Ning Li ; Xing An ; Xiaoming Gou

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    3686
  • Lastpage
    3689
  • Abstract
    Studying the morphology and interior movement of lymphocytes in intravital microscopic images is essential to understanding and treating various biological processes and pathological situations. A method combing features of shape, deformation, and intracellular motion for quantitatively characterizing the dynamic behavior of a single lymphocyte is proposed in this paper. The method is tested on a set of image sequences of lymphocytes obtained from the peripheral blood of mice undergoing skin transplantation using a phase contrast microscope. Experimental results coincide with the clinical observation and pathological analysis, demonstrating that the extracted cell morphology and motion features can provide new insights into the relationship between the dynamic behavior of lymphocytes and the occurrence of graft rejection.
  • Keywords
    biomechanics; blood; cellular biophysics; deformation; diseases; image sequences; medical image processing; skin; biological processes; cell morphology; deformation; graft rejection; image sequences; intracellular motion; intravital microscopic images; lymphocyte morphology; lymphocyte motion; lymphocyte movement; motion features; pathological analysis; pathological situations; peripheral blood; phase contrast microscope; quantitative analysis; quantitative characterisation; shape features; skin transplantation; Computer vision; Dynamics; Feature extraction; Image motion analysis; Image sequences; Optical imaging; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610343
  • Filename
    6610343