• DocumentCode
    1826290
  • Title

    Micro-rotation imaging deconvolution

  • Author

    Saux, B. Le ; Chalmond, B. ; Yu, Y. ; Trouvé, A. ; Renaud, O. ; Shorte, S.L.

  • Author_Institution
    CMLA ENS Cachan, CNRS, Cachan
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    1367
  • Lastpage
    1370
  • Abstract
    Recently, micro-rotation confocal microscopy has enabled the acquisition of a sequence of slices of non adherent living cells obtained during a partially controlled rotation movement of the cell through the focal plane. Although we are now able to estimate the 3D position of every slice with respect to the frame, the reconstruction of the cell from the positioned slices remains a problem that this paper address. In our context, 3D spatially-varying PSF and missing data are the two main particularities of this problem. Experiments illustrate the ability of the classical EM algorithm to deconvolve efficiently cell volume and also to deal with missing data.
  • Keywords
    biological techniques; biology computing; cell motility; deconvolution; expectation-maximisation algorithm; image reconstruction; optical microscopy; optical transfer function; 3D position estimation; 3D spatially-varying PSF; cell reconstruction; cell volume; classical EM algorithm; confocal microscopy; microrotation imaging deconvolution; missing data; nonadherent living cells; Anisotropic magnetoresistance; Convolution; Deconvolution; Image reconstruction; Interpolation; Microelectrodes; Microscopy; 3D spatially-varying PSF; Micro-rotation confocal microscopy; deconvolution; interpolation; missing data; non-organized data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541259
  • Filename
    4541259