Blind deconvolution for thin-layered confocal imaging
Applied Optics, Vol. 48, Issue 22, pp. 4437-4448 (2009)
http://dx.doi.org/10.1364/AO.48.004437
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Abstract
We propose an alternate minimization algorithm for estimating the point-spread function (PSF) of a confocal laser scanning microscope and the specimen fluorescence distribution. A three-dimensional separable Gaussian model is used to restrict the PSF solution space and a constraint on the specimen is used so as to favor the stabilization and convergence of the algorithm. The results obtained from the simulation show that the PSF can be estimated to a high degree of accuracy, and those on real data show better deconvolution as compared to a full theoretical PSF model.
© 2009 Optical Society of America
OCIS Codes
(100.3190) Image processing : Inverse problems
(180.1790) Microscopy : Confocal microscopy
(100.1455) Image processing : Blind deconvolution
ToC Category:
Image Processing
History
Original Manuscript: January 9, 2009
Revised Manuscript: May 14, 2009
Manuscript Accepted: May 15, 2009
Published: July 27, 2009
Virtual Issues
Vol. 4, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Praveen Pankajakshan, Bo Zhang, Laure Blanc-Féraud, Zvi Kam, Jean-Christophe Olivo-Marin, and Josiane Zerubia, "Blind deconvolution for thin-layered confocal imaging," Appl. Opt. 48, 4437-4448 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-48-22-4437
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