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      Influence of phase function on modeled optical response of nanoparticle-labeled epithelial tissues

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      Author
      Cihan, C.
      Arifler, D.
      Date
      2011
      Source Title
      Journal of Biomedical Optics
      Print ISSN
      10833668
      Volume
      16
      Issue
      8
      Language
      English
      Type
      Article
      Item Usage Stats
      141
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      105
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      Abstract
      Metal nanoparticles can be functionalized with biomolecules to selectively localize in precancerous tissues and can act as optical contrast enhancers for reflectance-based diagnosis of epithelial precancer. We carry out Monte Carlo (MC) simulations to analyze photon propagation through nanoparticle-labeled tissues and to reveal the importance of using a proper form of phase function for modeling purposes. We first employ modified phase functions generated with a weighting scheme that accounts for the relative scattering strengths of unlabeled tissue and nanoparticles. To present a comparative analysis, we repeat ourMCsimulations with simplified functions that only approximate the angular scattering properties of labeled tissues. The results obtained for common optical sensor geometries and biologically relevant labeling schemes indicate that the exact form of the phase function used as model input plays an important role in determining the reflectance response and approximating functions often prove inadequate in predicting the extent of contrast enhancement due to labeling. Detected reflectance intensities computed with different phase functions can differ up to ̃60% and such a significant deviation may even alter the perceived contrast profile. These results need to be taken into account when developing photon propagation models to assess the diagnostic potential of nanoparticle-enhanced optical measurements. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).
      Keywords
      Epithelial precancer
      Monte Carlo modeling
      Nanoparticles
      Optical sensors
      Phase function
      Reflectance
      Angular scattering
      Comparative analysis
      Contrast Enhancement
      Diagnostic potential
      Epithelial precancer
      Epithelial tissue
      Functionalized
      Labeling scheme
      Metal nanoparticles
      Model inputs
      Monte Carlo modeling
      Monte Carlo simulations
      Optical contrast
      Optical measurement
      Optical response
      Perceived contrast
      Phase functions
      Photon propagation
      Photon propagation model
      Relative scattering
      Sensor geometries
      Simplified functions
      Weighting scheme
      Histology
      Monte Carlo methods
      Nanoparticles
      Optical data processing
      Optical sensors
      Photons
      Reflection
      Tissue
      gold
      metal nanoparticle
      article
      biological model
      chemistry
      computer simulation
      diagnostic imaging
      epithelium
      light
      Monte Carlo method
      particle size
      photon
      precancer
      radiation scattering
      Computer Simulation
      Diagnostic Imaging
      Epithelium
      Gold
      Light
      Metal Nanoparticles
      Models, Biological
      Monte Carlo Method
      Particle Size
      Photons
      Precancerous Conditions
      Scattering, Radiation
      Permalink
      http://hdl.handle.net/11693/21841
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/1.3608999
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      • Department of Electrical and Electronics Engineering 3524
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