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
Link To Document :
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