• DocumentCode
    1067946
  • Title

    Multimodal Nonlinear Optical Microscopy and Applications to Central Nervous System Imaging

  • Author

    Huff, Terry B. ; Shi, Yunzhou ; Fu, Yan ; Wang, Haifeng ; Cheng, Ji-Xin

  • Author_Institution
    Purdue Univ., West Lafayette
  • Volume
    14
  • Issue
    1
  • fYear
    2008
  • Firstpage
    4
  • Lastpage
    9
  • Abstract
    Multimodal nonlinear optical (NLO) imaging is poised to become a powerful tool in bioimaging given its ability to capitalize on the unique advantages possessed by different NLO imaging modalities. The integration of different imaging modalities such as two-photon-excited fluorescence, sum frequency generation, and coherent anti-Stokes Raman scattering on the same platform can facilitate simultaneous imaging of different biological structures. Parameters to be considered in constructing a multimodal NLO microscope are discussed with emphasis on achieving a compromise in these parameters for efficient signal generation with each imaging modality. As an example of biomedical applications, multimodal NLO imaging is utilized to investigate the central nervous system in healthy and diseased states.
  • Keywords
    biomedical optical imaging; coherent antiStokes Raman scattering; fluorescence; neurophysiology; optical frequency conversion; optical microscopy; two-photon processes; NLO imaging; bioimaging; central nervous system imaging; coherent antiStokes Raman scattering; multimodal nonlinear optical microscopy; sum frequency generation; two-photon-excited fluorescence; Biomedical imaging; Biomedical optical imaging; Central nervous system; Fluorescence; Frequency; Nonlinear optics; Optical imaging; Optical microscopy; Optical scattering; Raman scattering; Central nervous system imaging; multimodality; nonlinear optical (NLO) microscopy;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Quantum Electronics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1077-260X
  • Type

    jour

  • DOI
    10.1109/JSTQE.2007.913419
  • Filename
    4451120