Blind deconvolution for thin layered confocal imaging

Praveen Pankajakshan 1 Bo Zhang 2 Laure Blanc-Féraud 1 Zvi Kam 3 Jean-Christophe Olivo-Marin 2 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
2 AIQ - Analyse d'Images Quantitative
3 Department of Molecular Cell Biology [Rehovot]
Abstract : In this paper, we have proposed an Alternate Minimization (AM) algorithm for estimating the Point-Spread Function (PSF) of a Confocal Laser Scanning Microscope (CLSM) and the specimen fluorescence distribution. A 3-D 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.
keyword : inverse problems Blind deconvolution confocal microscopy
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Submitted on : Monday, June 15, 2009 - 4:51:47 PM
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Praveen Pankajakshan, Bo Zhang, Laure Blanc-Féraud, Zvi Kam, Jean-Christophe Olivo-Marin, et al.. Blind deconvolution for thin layered confocal imaging. Applied optics, Optical Society of America, 2009, 48 (22), ⟨10.1364/AO.48.004437⟩. ⟨inria-00395523⟩

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