Filtering, reconstruction, and measurement of the geometry of nuclei from hippocampal neurons based on confocal microscopy data

Journal of Biomedical Optics

Volumn 13, Issue 1, 2008, Pages

  Queisser, Gillian ^a   Wittmann, Malte ^b   Bading, Hilmar ^b   Wittum, Gabriel ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b Interdisciplinary Center for Neurosciences   (Germany)

Author keywords

Anisotropic; Cell nucleus; Filter; Infoldings; Nonlinear; Reconstruction

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL NUCLEUS; CELL SIZE; COMPUTER ASSISTED DIAGNOSIS; CONFOCAL MICROSCOPY; CYTOLOGY; EVALUATION; HIPPOCAMPUS; HUMAN; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METHODOLOGY; NERVE CELL; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CELL NUCLEUS; CELL SIZE; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, CONFOCAL; NEURONS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

CONFOCAL MICROSCOPY; GENE EXPRESSION; MACROMOLECULES; PROTEINS; SIGNAL TO NOISE RATIO;

CELL NUCLEUS; DIJKSTRA GRAPH-SEARCH ALGORITHM; NUCLEAR ENVELOPE; NUCLEO-CYTOPLASMIC EXCHANGE;

NEURONS;

RATTUS;

EID: 38349117122     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.2829773     Document Type: Article

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