• DocumentCode
    3332867
  • Title

    Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)

  • Author

    Keuper, Margret ; Schmidt, Ted ; Temerinac-Ott, Maja ; Padeken, Jan ; Heun, Patrick ; Ronneberger, Olaf ; Brox, Thomas

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Freiburg, Freiburg, Germany
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    2179
  • Lastpage
    2186
  • Abstract
    With volumetric data from wide field fluorescence microscopy, many emerging questions in biological and biomedical research are being investigated. Data can be recorded with high temporal resolution while the specimen is only exposed to a low amount of photo toxicity. These advantages come at the cost of strong recording blur caused by the infinitely extended point spread function (PSF). For wide field microscopy, its magnitude only decays with the square of the distance to the focal point and consists of an airy bessel pattern which is intricate to describe in the spatial domain. However, the Fourier transform of the incoherent PSF (denoted as Optical Transfer Function (OTF)) is well localized and smooth. In this paper, we present a blind deconvolution method that improves results of state-of-the-art deconvolution methods on wide field data by exploiting the properties of the wide field OTF.
  • Keywords
    Fourier transforms; deconvolution; fluorescence; medical image processing; optical microscopy; optical transfer function; Fourier transform; OTF regularization; PSF; blind deconvolution method; optical transfer function regularization; point spread function; widefield fluorescence microscopic data; Deconvolution; Kernel; Microscopy; Noise; Optical imaging; Optical microscopy; TV; OTF regularization; blind deconvolution; widefield microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.283
  • Filename
    6619127