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Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
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Quantitative determination of dynamical properties using coherent spatial frequency domain imaging.

Tyler B Rice1, Soren D Konecky, Amaan Mazhar

  • 1Department of Physics, University of California, Irvine, Irvine, California 92697, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|October 8, 2011
PubMed
Summary

This study combines laser speckle imaging with spatial frequency domain imaging for quantitative particle dynamics. The new method accurately measures Brownian diffusion coefficients in scattering media, validated by Monte Carlo simulations.

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Area of Science:

  • Biomedical Optics
  • Photonics
  • Transport Phenomena

Background:

  • Laser speckle imaging (LSI) offers fast, noninvasive measurement of particle dynamics in scattering media like biological tissues.
  • Quantitative analysis of these dynamics is challenging due to complex light scattering.
  • Spatial frequency domain imaging (SFDI) controls photon path lengths using patterned illumination.

Purpose of the Study:

  • To develop a quantitative method combining LSI and SFDI for measuring particle dynamics.
  • To validate the technique using known Brownian diffusion coefficients in phantoms.
  • To compare diffusion and radiative transport models for predicting speckle contrast.

Main Methods:

  • Combined LSI with SFDI, illuminating samples with sinusoidal light patterns.
  • Employed diffusion and radiative transport theories to model speckle contrast.
  • Validated measurements against known Brownian diffusion coefficients (D(b)) of liquid phantoms.
  • Utilized Monte Carlo (MC) simulations for radiative transport modeling.

Main Results:

  • Radiative transport models, particularly MC simulations, provided the most accurate speckle contrast predictions.
  • Accurate D(b) measurements were achieved for polystyrene microspheres in water (800 nm and 1026 nm radii).
  • Measured changes in D(b) with viscosity in water-glycerin solutions were within 3% of expected values.

Conclusions:

  • The combined LSI-SFDI technique enables quantitative particle dynamics measurements in scattering media.
  • Radiative transport modeling, especially MC simulations, is crucial for accurate predictions.
  • This approach holds promise for noninvasive characterization of biological tissues and other turbid media.