Automated image analysis methods for 3-D quantification of the neurovascular unit from multichannel confocal microscope images

Cytometry Part A

Volumn 66, Issue 1, 2005, Pages 9-23

  Lin, Gang ^a   Bjornsson, Chris S ^b   Smith, Karen L ^b   Abdul Karim, Muhammad Amri ^a   Turner, James N ^b   Shain, William ^b   Roysam, Badrinath ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b WADSWORTH CENTER   (United States)

Author keywords

Confocal microscopy; Interobject features; Multidimensional image analysis; Neurovascular unit; Object features; Three dimensional blob segmentation; Three dimensional microvessel tracing; Vascular casting

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; CELL LABELING; CELL MEMBRANE; CELL NUCLEUS; COMPUTER PROGRAM; CONFOCAL MICROSCOPY; IMAGE ANALYSIS; MALE; MATHEMATICAL COMPUTING; MICROVASCULATURE; MORPHOMETRICS; NERVOUS SYSTEM; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT; STAINING; THREE DIMENSIONAL IMAGING; VALIDATION PROCESS;

ANIMALS; BRAIN; CELL NUCLEUS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MICROCIRCULATION; MICROSCOPY, CONFOCAL; RATS; SOFTWARE;

EID: 20944434932     PISSN: 15524922     EISSN: None     Source Type: Journal    
DOI: 10.1002/cyto.a.20149     Document Type: Article

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