High-resolution restoration of 3D structures from widefield images with extreme low signal-to-noise-ratio

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 43, 2013, Pages 17344-17349

  Arigovindan, Muthuvel ^a,b,c   Fung, Jennifer C ^a   Elnatan, Daniel ^a   Mennella, Vito ^a   Chan, Yee Hung Mark ^a   Pollard, Michael ^a   Branlund, Eric ^a,b   Sedat, John W ^a,b   Agard, David A ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

4D microscopy; Low dose microscopy; Noise suppressing regularization

Indexed keywords

ANIMAL CELL; ARTICLE; BIOTECHNOLOGY; BLEACHING; CONTROLLED STUDY; CYTOLOGY; DROSOPHILA; ENTROPY; FLUORESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; IN VIVO STUDY; KERNEL METHOD; LIGHT; MOLECULAR DYNAMICS; NONHUMAN; PHOTON; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPATIAL ANALYSIS; THREE DIMENSIONAL IMAGING; YEAST;

4D MICROSCOPY; LOW DOSE MICROSCOPY; NOISE-SUPPRESSING REGULARIZATION;

ALGORITHMS; ANIMALS; CELL LINE; ENTROPY; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, FLUORESCENCE; MODELS, MOLECULAR; MODELS, THEORETICAL; NUCLEAR PROTEINS; PROTEIN CONFORMATION; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL-TO-NOISE RATIO;

EID: 84886400024     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1315675110     Document Type: Article

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