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

@article{Li2012AutomaticIA,
  title={Automatic identification and quantitative morphometry of unstained spinal nerve using molecular hyperspectral imaging technology.},
  author={Qingli Li and Zenggan Chen and Xiaofu He and Yiting Wang and Hongying Liu and Qintong Xu},
  journal={Neurochemistry international},
  year={2012},
  volume={61 8},
  pages={1375-84}
}
Quantitative observation of nerve fiber sections is often complemented by morphological analysis in both research and clinical condition. However, existing manual or semi-automated methods are tedious and labour intensive, fully automated morphometry methods are complicated as the information of color or gray images captured by traditional microscopy is limited. Moreover, most of the methods are time-consuming as the nerve sections need to be stained with some reagents before observation. To… CONTINUE READING

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