Super-resolution MAP algorithms applied to fluorescence imaging

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2984, Issue , 1997, Pages 125-135

  Verveer, Peter J ^a   Van Kempen, Geert M P ^b   Jovin, Thomas M ^a  

^a MAX PLANCK INSTITUTE FOR BIOPHYSICAL CHEMISTRY   (Germany)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Fluorescence microscopy; Image restoration; Maximum a posteriori estimation; Maximum likelihood estimation; Super resolution

Indexed keywords

BLOCK CODES; CONFOCAL MICROSCOPY; CONFORMAL MAPPING; FLUORESCENCE; FLUORESCENCE MICROSCOPY; FUNCTIONS; IMAGE ACQUISITION; IMAGE RECONSTRUCTION; LARGE SCALE SYSTEMS; MAXIMUM LIKELIHOOD; MERGERS AND ACQUISITIONS; NEURAL NETWORKS; OPTICAL RESOLVING POWER; POISSON DISTRIBUTION; REPAIR; RESTORATION; SECURITY OF DATA; THREE DIMENSIONAL; TRELLIS CODES; TURBO CODES;

COMPUTATIONALLY EFFICIENT; CONFOCAL FLUORESCENCE MICROSCOPIES; CONFOCAL LASER SCANNING MICROSCOPIES; EM ALGORITHMS; ERROR MEASURES; FLUORESCENCE IMAGING; FUNCTIONALS; GAUSSIAN; GAUSSIAN NOISES; IMAGE RESTORATION; IMAGE RESTORATION ALGORITHMS; MAP ALGORITHMS; MAXIMUM A POSTERIORI ESTIMATION; NORMALIZATION METHODS; POISSON NOISES; PRIOR DISTRIBUTIONS; QUANTITATIVE MEASUREMENTS; REGULARIZATION PARAMETERS; RESTORATION OF IMAGES; SUPER RESOLUTION;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 6844259621     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.271258     Document Type: Conference Paper

References (8)

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