• DocumentCode
    1528953
  • Title

    Deconvolved Spatial Light Interference Microscopy for Live Cell Imaging

  • Author

    Haldar, Justin P. ; Wang, Zhuo ; Popescu, Gabriel ; Liang, Zhi-Pei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • Volume
    58
  • Issue
    9
  • fYear
    2011
  • Firstpage
    2489
  • Lastpage
    2497
  • Abstract
    Spatial light interference microscopy (SLIM) is a recently developed method for the label-free imaging of live cells, using the quantitative optical path length through the sample as an endogenous source of contrast. In conventional SLIM, spatial resolution is limited by diffraction and aberrations. This paper describes a novel constrained deconvolution method for improving resolution in SLIM. Constrained deconvolution is enabled by experimental measurement of the system point-spread function and the modeling of coherent image formation in SLIM. Results using simulated and experimental data demonstrate that the proposed method leads to significant improvements in the resolution and contrast of SLIM images. The proposed method should prove useful for high-resolution label-free studies of biological cells and subcellular processes.
  • Keywords
    biological techniques; biology computing; cellular biophysics; deconvolution; image reconstruction; light interference; optical microscopy; optical transfer function; biological cells; coherent image formation; deconvolved spatial light interference microscopy; label-free imaging; live cell imaging; point-spread function; quantitative optical path length; Deconvolution; Image reconstruction; Microscopy; Optical diffraction; Optical imaging; Optical microscopy; Constrained image reconstruction; deconvolution; live cell imaging; quantitative phase imaging (QPI); spatial light interference microscopy (SLIM); Algorithms; Animals; Cytological Techniques; Hippocampus; Image Processing, Computer-Assisted; Light; Membrane Potentials; Microglia; Microscopy, Interference; Neurons; Rats; Rats, Long-Evans;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2158003
  • Filename
    5778951