• DocumentCode
    3036739
  • Title

    Nerve fibers identification based on molecular hyperspectral imaging technology

  • Author

    Li, Qingli ; Wang, Yiting ; Liu, Hongying ; Chen, Zenggan

  • Author_Institution
    Key Lab. of Polor Mater. & Devices, East China Normal Univ., Shanghai, China
  • Volume
    3
  • fYear
    2012
  • fDate
    25-27 May 2012
  • Firstpage
    15
  • Lastpage
    17
  • Abstract
    To identify the nerve fibers more effectively, a molecular hyperspectral imaging system is used to capture the molecular hyperpsectral images of nerve sections. This new type of imaging system has the advantage of having no moving parts and the spectra can be scanned at very high speed. Then a spectral angle mapper algorithm for automatic nerve fibers identification is presented. To evaluate the performance of the new method, both the molecular hyperspectral images (before staining) and the traditional microscope image (after staining) were captured and compared. The experiment results demonstrate that the new method can utilizes both spectral and spatial information of nerves and identify the nerve fibers more accurately.
  • Keywords
    hyperfine structure; medical image processing; molecular biophysics; neurophysiology; automatic nerve fiber identification; microscope image; molecular hyperspectral imaging technology; nerve spatial information; nerve spectral information; performance evaluation; spectral angle mapper algorithm; staining; Biomedical optical imaging; Hyperspectral imaging; Microscopy; Nerve fibers; Optical imaging; biomedical imaging; nerve fibers; spectral angle mapper; spectral imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4673-0088-9
  • Type

    conf

  • DOI
    10.1109/CSAE.2012.6272897
  • Filename
    6272897