• DocumentCode
    2636638
  • Title

    On the feasibility of axial tracking of a fluorescent nanoparticle using a defocusing model

  • Author

    Subotic, Nadja ; Van De Ville, Dimitri ; Unser, Michael

  • Author_Institution
    Biomed. Imaging Group, Swiss Fed. Inst. of Technol., Lausanne, Switzerland
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    1231
  • Abstract
    The image of a subresolution nanoparticle in fluorescence microscopy corresponds to a slice of the 3D point spread function (PSF). This slice relates to the out-of-focus distance of the nanoparticle. In this paper, we investigate to which extent it is possible to estimate the out-of-focus distance of the nanoparticle from a 2D image based on the knowledge of the 3D PSF. To this end, we compute the Cramer-Rao bound (CRB) that provides a lower bound on the error of the best estimator of the axial position. The calculation of the CRB involves the specification of a 3D PSF model, the assumption of a signal-dependent Poisson noise, and some acquisition parameters. Our derivation shows that the CRB depends on the defocusing distance. Interestingly, nanometer precision can be attained over a range of defocus distances and for sufficiently high SNR levels. The theoretical results are confirmed with simulated experiments using estimators based on the least-squares (LS) and normalized cross-correlation (NCC) criterion. The results obtained are very close to the theoretical CRB.
  • Keywords
    biological techniques; fluorescence; image resolution; least squares approximations; nanoparticles; optical correlation; optical images; optical microscopy; optical transfer function; stochastic processes; 2D image; 3D point spread function; Cramer-Rao bound; acquisition parameters; axial tracking; defocusing distance; defocusing model; fluorescence microscopy; fluorescent nanoparticle; least-squares estimation; nanometer precision; nanoparticle out-of-focus distance; normalized cross-correlation estimation; signal-dependent Poisson noise; subresolution nanoparticle image; Biological cells; Biological system modeling; Biomedical imaging; Biophysics; Cramer-Rao bounds; Fluorescence; Nanobioscience; Optical microscopy; Particle tracking; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398767
  • Filename
    1398767