Micro-rotation imaging deconvolution

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.

An integrated statistical approach for volume reconstruction from unregistered sequential slices

“…The small hole in the contour (marked by a rectangle) is due to the so-called blind-cone phenomena: when the object turns around an axis which is not included into H 0 , a part of the object is never seen by H 0 and consequently no data are acquired from this part. In fact, this blind-cone can be removed by deconvolution of the reconstructed volume [31,32]. The micro-rotation volume is rendered in the same viewing direction as that of the z-stack data (its size is 109 × 109 × 181) which is shown in figure 8.…”