• DocumentCode
    3168061
  • Title

    Effective image and spectral data acquisition method used in scanning near-field optical microscopy by bimorph-based shear force sensor

  • Author

    Wei Cai ; Mu Yang ; Yingjie Wang ; Guangyi Shang

  • Author_Institution
    Dept. of Appl. Phys., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    22-23 Oct. 2013
  • Firstpage
    155
  • Lastpage
    159
  • Abstract
    We have introduced a home-made scanning near-field optical microscope (SNOM) with bimorph-based shear force sensor. The instrumentation of the imaging system and the key techniques such as the bimorph-based non-optical shear force sensor design and the fabrication of optical fiber probes used in this SNOM are described in details. Then the good performance of the system is demonstrated by various experiments such as shear force imaging, near-field optical imaging, surface plasmon resonance detection, and near-field spectroscopy. The imaging and spectroscopic experimental results suggest that this home-made SNOM and bimorph-based shear force detection method would be promising techniques to be used in a variety of nanomaterials research and their optical applications.
  • Keywords
    data acquisition; optical images; optical microscopy; surface plasmon resonance; bimorph-based shear force sensor; image data acquisition method; near-field optical imaging; near-field spectroscopy; optical fiber probes; scanning near-field optical microscopy; shear force imaging; spectral data acquisition method; surface plasmon resonance detection; Microscopy; Optical fiber sensors; Optical fibers; Optical films; Optical imaging; bimorph shear force sensor; near-field spectroscopy; scanning near-field optical microscopy; shear force microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-5790-6
  • Type

    conf

  • DOI
    10.1109/IST.2013.6729682
  • Filename
    6729682