Application of the split-gradient method to 3D image deconvolution in fluorescence microscopy

Journal of Microscopy

Volumn 234, Issue 1, 2009, Pages 47-61

  Vicidomini, G ^a,b,c   Boccacci, P ^b   Diaspro, A ^b,c   Bertero, M ^b  

^a MAX PLANCK INSTITUTE FOR BIOPHYSICAL CHEMISTRY   (Germany)

^b UNIVERSITY OF GENOA   (Italy)

^c FIRC INSTITUTE OF MOLECULAR ONCOLOGY   (Italy)

Author keywords

Deconvolution; Edge preserving; Fluorescence microscopy; Markov random field; Split gradient method

Indexed keywords

BAYESIAN NETWORKS; FLUORESCENCE; GRADIENT METHODS; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM LIKELIHOOD; PHOTONS; RESTORATION;

3-D IMAGE; 3D-IMAGES; CONSTRAINED MINIMIZATION; DECONVOLUTIONS; EDGE PRESERVING; GRADIENT'S METHODS; IMAGE DECONVOLUTION; MARKOV RANDOM FIELDS; NON-NEGATIVITY; SPLIT-GRADIENT METHOD;

FLUORESCENCE MICROSCOPY;

ALGORITHM; ARTICLE; CONFOCAL MICROSCOPY; FLUORESCENCE MICROSCOPY; IMAGE RECONSTRUCTION; IMAGING SYSTEM; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

EID: 63049089512     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2009.03150.x     Document Type: Article

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