• DocumentCode
    3299341
  • Title

    Bioimaging: A new frontier area for signal processing research

  • Author

    Olivo-Marin, Jean-Christophe

  • Author_Institution
    Quantitative Image Anal. Unit, Inst. Pasteur, Paris
  • fYear
    2009
  • fDate
    9-10 April 2009
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    It is now a common consensus that in-depth understanding of biological systems requires robust and systematic quantification of their spatiotemporal characteristics. This endeavour has been significantly enlightened over the past decades thanks to the numerous advances in fluorescent probes, labeling techniques and microscopy systems. It is likewise a consensus that more powerful and specific signal/image processing methods are henceforth required to process the large amounts and variety of signals in biology and biomedicine. Here we give a panorama of some state-of-the-art image processing methods and also point at signal processing challenges and outline topics for future research.
  • Keywords
    deconvolution; image segmentation; medical image processing; target tracking; bioimaging; biological system spatiotemporal characteristics; image processing methods; signal processing methods; signal processing research; Biological systems; Biomedical signal processing; Fluorescence; Image processing; Labeling; Probes; Robustness; Signal processing; Spatiotemporal phenomena; Systematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Life Science Systems and Applications Workshop, 2009. LiSSA 2009. IEEE/NIH
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    978-1-4244-4292-8
  • Electronic_ISBN
    978-1-4244-4293-5
  • Type

    conf

  • DOI
    10.1109/LISSA.2009.4906701
  • Filename
    4906701