Influence of phase function on modeled optical response of nanoparticle-labeled epithelial tissues
Author
Cihan, C.
Arifler, D.
Date
2011Source Title
Journal of Biomedical Optics
Print ISSN
10833668
Volume
16
Issue
8
Language
English
Type
ArticleItem 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 precancerMonte 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/11693/21841Published Version (Please cite this version)
http://dx.doi.org/10.1117/1.3608999Collections
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