Closed-form density-based framework for automatic detection of cellular morphology changes

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

Volumn 109, Issue 22, 2012, Pages 8382-8387

  Duong, Tarn ^a   Goud, Bruno ^a   Schauer, Kristine ^a  

^a CNRS   (France)

Author keywords

Hypothesis test; Integrated density functional; Optimal bandwidth selection; Quantitative cell comparison

Indexed keywords

PROTEIN;

ARTICLE; AUTOMATION; CALCULATION; CELL DENSITY; CELL FUNCTION; CELL STRUCTURE; COMPUTATIONAL FLUID DYNAMICS; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; CYTOLOGY; CYTOSKELETON; DENSITY FUNCTIONAL THEORY; FLUORESCENCE MICROSCOPY; HUMAN; HUMAN CELL; KERNEL METHOD; MICROTUBULE; NONPARAMETRIC TEST; PRIORITY JOURNAL; PROTEIN STRUCTURE; SCIENTIST; SINGLE CELL ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANTIGENS, CD63; CELL LINE; CYTOSKELETON; GREEN FLUORESCENT PROTEINS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INTRACELLULAR SPACE; MICROSCOPY, FLUORESCENCE; MICROTUBULES; MODELS, BIOLOGICAL; MOLECULAR DYNAMICS SIMULATION; MULTIVARIATE ANALYSIS; MULTIVESICULAR BODIES; NOCODAZOLE; REPRODUCIBILITY OF RESULTS; TRANSFECTION; TUBULIN MODULATORS;

EID: 84861899383     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1117796109     Document Type: Article

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