An information theoretic thresholding method for detecting protein colocalizations in stacks of fluorescence images

Journal of Biotechnology

Volumn 149, Issue 3, 2010, Pages 127-131

  Barysenka, Andrei ^a,b   Dress, Andreas W M ^a,b   Schubert, Walter ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

^c OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Kullback Leibler distance; MELK technology; Numerical optimization; Threshold values

Indexed keywords

BIOLOGICAL ASPECTS; BIOLOGICAL OBJECTS; BLOOD CELLS; CO-LOCALIZATIONS; FLUORESCENCE IMAGE; KULLBACK-LEIBLER DISTANCE; MELK TECHNOLOGY; NERVOUS TISSUES; NUMERICAL OPTIMIZATIONS; SPATIAL DISTRIBUTION; THRESHOLD VALUES; THRESHOLDING METHODS;

BLOOD; FLUORESCENCE; INFORMATION THEORY; OPTIMIZATION; SIZE DISTRIBUTION;

PROTEINS;

ALGORITHM; ARTICLE; BIOTECHNOLOGY; FLUORESCENCE; PRIORITY JOURNAL; PROBABILITY; PROTEIN LOCALIZATION;

MICROSCOPY, FLUORESCENCE; PROTEINS; PROTEOMICS;

EID: 77956011744     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2010.01.009     Document Type: Article

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