Paper Info
Title
Blind Deconvolution For Diffraction-Limited Fluorescence Microscopy
Abstract
Optical Sections of biological samples obtained from a fluorescence Confocal Laser Scanning Microscopes (CLSM) are often degraded by out-of-focus blur and photon counting noise. Such physical constraints on the observation are a result of the diffraction-limited nature of the optical system, and the reduced amount of light detected by the photomultiplier respectively. Hence, the image stacks can benefit from postprocessing restoration methods based on deconvolution. The parameters of the acquisition system's Point Spread Function (PSF) may vary during the course of experimentation, and so they have to be estimated directly from the observation data. We describe here an alternate minimization algorithm for the simultaneous blind estimation of the specimen 3D distribution of fluorescent sources and the PSF. Experimental results on real data show that the algorithm provides very good deconvolution results in comparison to theoretical microscope PSF models.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541102
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4
Keywords
Field
DocType
confocal microscopy, point spread ftmction, Richardson-Lucy algorithm, total variation regularization, blind deconvolution
Photon counting,Computer vision,Biological specimen,Optical transfer function,Blind deconvolution,Computer science,Deconvolution,Optics,Microscope,Artificial intelligence,Image restoration,Point spread function
Conference
ISSN
Citations 
PageRank 
1945-7928
4
0.72
References 
Authors
0
6
Name
Order
Citations
PageRank
Praveen Pankajakshan182.45
Bo Zhang28112.21
Laure Blanc-Féraud353663.97
Zvi Kam4515.72
Jean-Christophe Olivo-Marin574777.94
Josiane Zerubia62032232.91