• DocumentCode
    2574375
  • Title

    Computational optical sectioning microscopy using an engineered PSF with reduced depth variability — Proof of concept

  • Author

    Yuan, Shuai ; Preza, Chrysanthe

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    1739
  • Lastpage
    1742
  • Abstract
    In this simulation study, an engineered point-spread function (PSF) with reduced depth variability (due to depth-induced aberrations) was applied to three-dimensional computational optical-sectioning microscopy (COSM) imaging to investigate its impact on image restoration. Intermediate synthetic images from PSF-engineered COSM in the presence of aberrations were computed and then processed using a depth-variant expectation maximization algorithm. The restored images were compared to images simulated for traditional COSM. Results show that PSF-engineered COSM achieves better image restoration than conventional COSM and has the potential to improve imaging in the presence of depth-induced aberrations.
  • Keywords
    aberrations; biomedical optical imaging; expectation-maximisation algorithm; image restoration; medical image processing; optical microscopy; optical transfer function; 3D computational optical-sectioning microscopy imaging; PSF-engineered COSM; depth-induced aberrations; depth-variant expectation maximization algorithm; engineered PSF; engineered point-spread function; image restoration; intermediate synthetic image; reduced depth variability; Adaptive optics; Image reconstruction; Image restoration; Microscopy; Optical imaging; Optical microscopy; Computational Optical Sectioning Microscopy; Expectation Maximization; Wave front encoding; cubic phase modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235916
  • Filename
    6235916