Automated detection and quantification of fluorescently labeled synapses in murine brain tissue sections for high throughput applications

Journal of Biotechnology

Volumn 149, Issue 4, 2010, Pages 299-309

  Herold, Julia ^a,b   Schubert, Walter ^b   Nattkemper, Tim W ^a  

^a BIELEFELD UNIVERSITY   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Bioimage analysis; Fluorescence microscopy; High throughput synapse detection; Neural tissue; Support vector machine; Synaptophysin staining

Indexed keywords

AUTOMATED DETECTION; BIOIMAGE ANALYSIS; BRAIN TISSUE; CONFIDENCE THRESHOLD; CONFIDENCE VALUES; FLUORESCENCE SIGNALS; FLUORESCENT DYES; HAND-TUNING; HIGH THROUGHPUT; IMAGE PIXELS; LABELING METHODS; LOCAL CONFIDENCE; NEURAL TISSUE; ON-MACHINES; SCREENING SYSTEM; SOFTWARE APPROACH; SYNAPTOPHYSIN; TISSUE SECTIONS;

AUTOMATION; FLUORESCENCE; FLUORESCENCE MICROSCOPY; PIXELS; SUPPORT VECTOR MACHINES; TISSUE;

THROUGHPUT;

FLUORESCEIN ISOTHIOCYANATE; SYNAPTOPHYSIN;

ACCURACY; ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; AUTOMATION; CELL LABELING; COMPUTER PROGRAM; FLUORESCENCE MICROSCOPY; HIGH THROUGHPUT SCREENING; HIPPOCAMPUS; INTELLIGENT SYNAPSE SCREENING SYSTEM; MALE; MOUSE; NONHUMAN; PRIORITY JOURNAL; SYNAPSE;

ANIMALS; BRAIN; COMPUTATIONAL BIOLOGY; MALE; MICE; MICE, INBRED C57BL; MICROSCOPY, FLUORESCENCE; SYNAPSES;

MURINAE;

EID: 77956941398     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2010.03.004     Document Type: Article

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