Paper
28 September 1989 Three-Dimensional Image Restoration In Fluorescence Confocal Scanning Microscopy
M. Bertero, P. Boccacci, G. J. Brakenhoff, F. Malfanti, H. T. M. van der Voort
Author Affiliations +
Proceedings Volume 1139, Optical Storage and Scanning Technology; (1989) https://doi.org/10.1117/12.961778
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France
Abstract
In the case of weakly absorbing objects and of complete incoherence of the emitted radiation, the three-dimensional image g(r) produced by a Confocal Scanning Laser Microscope (CSLM) is the convolution of the distribution function of the fluorescent material, f(r), with the impulse response function of the instrument, h(r). Since h(r) is band-limited, the image g(r) contains information only about the Fourier components of f(r) in the band of h(r). Moreover, these components are distorted because the Fourier transform of h(r) is not constant over the band. If both g(r) and h(r) are known it is possible to invert the integral relationship indicated above in order to improve the imaging fidelity and the resolution of the microscope. This deconvolution problem is ill-posed and the so-called regularization methods must be used in order to get stable and approximate solutions. In this paper we discuss the potential applications of a very simple regularization technique to the restoration of three-dimensional images produced by the confocal scanning microscope developed at the University of Amsterdam.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Bertero, P. Boccacci, G. J. Brakenhoff, F. Malfanti, and H. T. M. van der Voort "Three-Dimensional Image Restoration In Fluorescence Confocal Scanning Microscopy", Proc. SPIE 1139, Optical Storage and Scanning Technology, (28 September 1989); https://doi.org/10.1117/12.961778
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Cited by 4 scholarly publications.
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KEYWORDS
Confocal microscopy

Fourier transforms

Luminescence

3D image processing

Image restoration

Objectives

Microscopes

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