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
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