Automated identification of neurons in 3D confocal datasets from zebrafish brainstem

Journal of Microscopy

Volumn 233, Issue 1, 2009, Pages 114-131

  Kamali, M ^a   Day, L J ^b   Brooks, D H ^a   Zhou, X ^c   O'Malley, D M ^b  

^a Department of Electrical and Computer Engineering ^*  (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

^c HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

Author keywords

Database; Fluorescence; Hough; Lesion; Phenotype; Reticulospinal; Segmentation; Spinal; Stereology; Tracing; Vertebrate

Indexed keywords

AUTOMATION; BRAIN; CELLS; CYTOLOGY; LOCATION; NEURONS;

HOUGH; LESION; PHENOTYPE; RETICULOSPINAL; SEGMENTATION; SPINAL; STEREOLOGY; TRACING; VERTEBRATE; ZEBRAFISH;

FLUORESCENCE;

ALGORITHM; ANIMAL TISSUE; ARTICLE; AUTOMATION; BRAIN CORTEX; BRAIN NERVE CELL; BRAIN STEM; CONFOCAL MICROSCOPY; CONTROLLED STUDY; FLUORESCENCE; HIPPOCAMPUS; IMAGE PROCESSING; IMAGE QUALITY; IMAGING SYSTEM; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; RETICULOSPINAL TRACT; RETINA; STEREOLOGY; TECHNIQUE; THREE DIMENSIONAL IMAGING; ZEBRA FISH;

DANIO RERIO; VERTEBRATA;

EID: 58449134848     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2008.03102.x     Document Type: Article

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