Computational counting for a quantitative analysis of cells in histologically prepared brain sections

Neurocomputing

Volumn 52-54, Issue , 2003, Pages 209-214

  Benali, Alia ^a   Leefken, Iris ^a   Kastrup, David ^a   Weiler, Elke ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

Cell counting; Clustering; Neuronal tissue; Quantitative analysis; Threshold images

Indexed keywords

ANTIBODIES; BRAIN; CELLS; COMPUTATIONAL METHODS;

AUTOMATIC COUNTING;

NEUROLOGY;

4 AMINOBUTYRIC ACID; BRAIN ANTIBODY; CELL NUCLEUS ANTIGEN; PARVALBUMIN; PROTEIN C FOS;

ACCURACY; ALGORITHM; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; AUTOMATION; BRAIN CELL; BRAIN REGION; BRAIN TISSUE; CELL ASSAY; CELL COUNT; CONTROLLED STUDY; MANUAL LABOR; NISSL STAINING; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT; RELIABILITY;

EID: 0038796535     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0925-2312(02)00736-1     Document Type: Article

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