Blind deconvolution for thin-layered confocal imaging.
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.
Pankajakshan
Praveen
P
Ariana Project-team, INRIA/CNRS, 2004 Route des Lucioles, BP 93, 06902 Sophia-Antipolis Cedex, France. ppankaja@sophia.inria.fr
Zhang
Bo
B
Blanc-Féraud
Laure
L
Kam
Zvi
Z
Olivo-Marin
Jean-Christophe
JC
Zerubia
Josiane
J
D000465:Algorithms; D017360:Arabidopsis / Q000378:metabolism; D001499:Bayes Theorem; D003198:Computer Simulation; D004867:Equipment Design; D018613:Microscopy, Confocal / Q000295:instrumentation* / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D016011:Normal Distribution; D055095:Optics and Photonics; D016012:Poisson Distribution; D015203:Reproducibility of Results