• DocumentCode
    2533541
  • Title

    Micro particle size measurements using modulated light scattering spectrum from SDOCT

  • Author

    Yuan, Zhijia ; Wang, Zhenguo ; Pan, Yingtian

  • Author_Institution
    State Univ. of New York, Stony Brook
  • fYear
    2007
  • fDate
    10-11 March 2007
  • Firstpage
    92
  • Lastpage
    93
  • Abstract
    We report an experimental study based on spectral domain optical coherence tomography (SDOCT) to get depth resolved high-frequency modulated light scattering spectrum (LSS) for polystyrene micro particles with two different sizes: 7 um and 15 um in diameter. By filtering axial line signal with a Gaussian window, and doing IFFT for the filtered signal, we get the modulated LSS for the two types of particles in a specific depth range. Then by using Hilbert transform, we reconstruct the LSS for the two samples. The reconstructed LSS were then compared to the theoretical LSS results to confirm the sizes of these two different particles. This study demonstrates the potential of using this method to determine 3D distributed particles´ size with sub micro resolution. It might also be developed to probe the size of nucleus in cells to help cellular morphology measurements.
  • Keywords
    Gaussian processes; Hilbert spaces; Hilbert transforms; biomedical optical imaging; cellular biophysics; image reconstruction; light scattering; medical image processing; optical tomography; particle size measurement; polymers; Gaussian window; Hilbert transform; IFFT; LSS reconstruction; SDOCT; cells nucleus; cellular morphology; filtered signal; microparticle size measurements; modulated light scattering spectrum; polystyrene micro articles; spectral domain optical coherence tomography; Filtering; Light scattering; Morphology; Optical filters; Optical modulation; Optical scattering; Probes; Signal resolution; Size measurement; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2007. NEBC '07. IEEE 33rd Annual Northeast
  • Conference_Location
    Long Island, NY
  • Print_ISBN
    978-1-4244-1033-0
  • Electronic_ISBN
    978-1-4244-1033-0
  • Type

    conf

  • DOI
    10.1109/NEBC.2007.4413294
  • Filename
    4413294