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Title: Application of image restoration methods for confocal fluorescence microscopy
Authors:
G.M.P. van Kempen, L.J.
van Vliet, P.J. Verveer
in: C.J. Cogswell, J.-A. Conchello, T. Wilson (eds.),
3-D Microscopy: Image Acquisition and Processing IV, Proc. SPIE, vol.
2984, 1997, 114-124.
Abstract
The analysis of the three-dimensional structure of tissue, cells and
cellular constituents play a major role in biomedical research. Three-dimensional
images, acquired by confocal fluorescence microscopes play a key role in
this analysis. However, the imaging properties of these microscopes give
rise to diffraction-induced blurring phenomena. These distortions hamper
subsequent quantitative analysis. Therefore, restoration algorithms that
invert these distortions will improve these analyses.
We have tested the performances of the Richardson-Lucy, and the ICTM
algorithm in a simulation experiment and found a strong dependency of their
performances on the signal-to-noise ratio of the image. We propose a pre-filtering
to reduce the noise in the image without hampering the object. We have
applied a Gaussian filter and a median filter prior to the restoration,
and compensate for this extra blurring of the Gaussian in the restoration
procedure. We will show how this pre-filtering improves the performance
of the restoration algorithms. The experiments were performed on spheres
convolved with a confocal point spread function and distorted with Poisson
noise.
Download postscript file (742 kb).
View pdf file (166 kb).
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