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- Title
Noise suppression of point spread functions and its influence on deconvolution of three-dimensional fluorescence microscopy image sets.
- Authors
Lai, X; Lin, Zhiping; Ward, E S; Ober, R J
- Abstract
The point spread function (PSF) is of central importance in the image restoration of three-dimensional image sets acquired by an epifluorescent microscope. Even though it is well known that an experimental PSF is typically more accurate than a theoretical one, the noise content of the experimental PSF is often an obstacle to its use in deconvolution algorithms. In this paper we apply a recently introduced noise suppression method to achieve an effective noise reduction in experimental PSFs. We show with both simulated and experimental three-dimensional image sets that a PSF that is smoothed with this method leads to a significant improvement in the performance of deconvolution algorithms, such as the regularized least-squares algorithm and the accelerated Richardson-Lucy algorithm.
- Publication
Journal of microscopy, 2005, Vol 217, Issue Pt 1, p93
- ISSN
0022-2720
- Publication type
Journal Article
- DOI
10.1111/j.0022-2720.2005.01440.x