• DocumentCode
    272309
  • Title

    Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling

  • Author

    Ortiz-de-Solórzano, C. ; Muñoz-Barrutia, A. ; Meijering, E. ; Kozubek, M.

  • Author_Institution
    Morphology & Imaging Group, Center for Appl. Med. Res. (CIMA), Pamplona, Spain
  • Volume
    32
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    20
  • Lastpage
    29
  • Abstract
    From a systems biology perspective, the cell is the principal element of information integration. Therefore, understanding the cell in its spatiotemporal context is the key to unraveling many of the still unknown mechanisms of life and disease. This article reviews image processing aspects relevant to the quantification of cell morphology and dynamics. We cover both acquisition (hardware) and analysis (software) related issues, in a multiscale fashion, from the detection of cellular components to the description of the entire cell in relation to its extracellular environment. We then describe ongoing efforts to integrate all this vast and diverse information along with data about the biomechanics of the cell to create a credible model of cell morphology and behavior.
  • Keywords
    biomechanics; biomedical optical imaging; cellular biophysics; diseases; medical image processing; spatiotemporal phenomena; biology perspective; biomechanics; cell behavior; cell dynamics; cell modeling; cell morphology; cellular components detection; disease; extracellular environment; image processing; morphodynamic model; principal element; signal processing; spatiotemporal context; Biomechanics; Biomedical imaging; Cell morphology; Cells (biology); Diseases; Image resolution; Spatiotemporal phenomenal;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2014.2358263
  • Filename
    6978023