• DocumentCode
    926088
  • Title

    Deconvolution methods for 3-D fluorescence microscopy images

  • Author

    Sarder, Pinaki ; Nehorai, Arye

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO, USA
  • Volume
    23
  • Issue
    3
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    32
  • Lastpage
    45
  • Abstract
    This paper presents an overview of various deconvolution techniques of 3D fluorescence microscopy images. It describes the subject of image deconvolution for 3D fluorescence microscopy images and provides an overview of the distortion issues in different areas. The paper presents a brief schematic description of fluorescence microscope systems and provides a summary of the microscope point-spread function (PSF), which often creates the most severe distortion in the acquired 3D image. Finally, it discusses the ongoing research work in the area and provides a brief review of performance measures of 3D deconvolution microscopy techniques. It also provides a summary of the numerical results using simulated data and presents the results obtained from the real data.
  • Keywords
    biological techniques; biology computing; deconvolution; fluorescence; image processing; least squares approximations; optical images; optical microscopy; statistical analysis; 3D fluorescence microscopy images; deconvolution methods; image deconvolution; microscope point-spread function; Adaptive optics; Biomedical optical imaging; Deconvolution; Fluorescence; Microscopy; Optical computing; Optical distortion; Optical imaging; Optical noise; Optical sensors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2006.1628876
  • Filename
    1628876