Automatic identification and quantitative morphometry of unstained spinal nerve using molecular hyperspectral imaging technology

Neurochemistry International

Volumn 61, Issue 8, 2012, Pages 1375-1384

  Li, Qingli ^a   Chen, Zenggan ^b   He, Xiaofu ^a   Wang, Yiting ^a   Liu, Hongying ^a   Xu, Qintong ^b  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b FUDAN UNIVERSITY   (China)

Author keywords

Biomedical imaging; Molecular hyperspectral imaging; Myelin segmentation; Nerve morphometry

Indexed keywords

MYELIN;

ALGORITHM; ANIMAL TISSUE; ARTICLE; AUTOMATION; MOLECULAR HYPERSPECTRAL IMAGING; MORPHOMETRICS; NERVE FIBER; NEUROIMAGING; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SPINAL NERVE;

ALGORITHMS; ANIMALS; AUTOMATION; COLOR; COLORING AGENTS; FEMALE; IMAGE CYTOMETRY; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROCOMPUTERS; MICROSCOPY, ACOUSTIC; MYELIN SHEATH; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; RABBITS; SPINAL NERVES; STAINING AND LABELING;

EID: 84870301230     PISSN: 01970186     EISSN: 18729754     Source Type: Journal    
DOI: 10.1016/j.neuint.2012.09.018     Document Type: Article

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