Automated compartmental analysis for high-throughput skeletal phenotyping in femora of genetic mouse models

Bone

Volumn 41, Issue 4, 2007, Pages 659-667

  Kohler, Thomas ^a   Stauber, Martin ^a   Donahue, Leah Rae ^b   Müller, Ralph ^a  

^a ETH ZURICH   (Switzerland)

^b JACKSON LABORATORY   (United States)

Author keywords

Automated High Throughput Analysis; Bone architecture; Bone structure; Genetics; Inbred mouse strains; Micro computed Tomography ( CT); Quantitative Trait Loci

Indexed keywords

ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; APPARENT VOLUME DENSITY; ARTICLE; AUTOMATED COMPARTMENTAL ANALYSIS; BONE DENSITY; BONE STRUCTURE; COMPARTMENT MODEL; CONTROLLED STUDY; CORTICAL THICKNESS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC IMAGING; FEMUR; GENETIC LINKAGE; HERITABILITY; HIGH THROUGHPUT SCREENING; MOUSE; NONHUMAN; PHENOTYPE; QUANTITATIVE TRAIT LOCUS; REPRODUCIBILITY; STANDARDIZATION; THICKNESS; THREE DIMENSIONAL IMAGING; TRABECULAR BONE; TRABECULAR SEPARATION;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; FEMALE; FEMUR; MALE; MICE; MODELS, GENETIC; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SKELETON;

EID: 34548538229     PISSN: 87563282     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bone.2007.05.018     Document Type: Article

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