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Related Concept Videos

The Phase Rule01:20

The Phase Rule

The phase rule describes the relationship between the variance (degrees of freedom), the number of components, and the number of phases in a system at equilibrium.Variance is a concept that denotes the number of independent intensive properties (properties are those that do not depend on the amount of material in the system), such as temperature, pressure, and composition, that can be altered without impacting the number of phases in equilibrium.In a single-component system, such as pure water,...
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Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
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It is essential to understand the difference between chiral and achiral interactions and the implications thereof in optical activity and their applications. Just as our feet, which are chiral, interact uniquely with chiral objects, such as a pair of shoes, but identically with achiral socks, enantiomers of a molecule exhibit different properties only when they interact with other chiral media. An example of a significant implication from this facet is the phenomenon known as optical activity,...
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Updated: Jun 13, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

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Published on: April 1, 2020

OPTICAL PROPERTY CHARACTERIZATION BASED ON A PHASE FUNCTION APPROXIMATION MODEL.

A Cong1, W Cong, H Shen

  • 1VT-WFU School of Biomedical Eng & Sci, Virginia Tech.

Proceedings. IEEE International Symposium on Biomedical Imaging
|April 30, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel phase approximation method for accurately estimating optical properties of biological tissues. The technique combines global and local search algorithms for efficient and reliable parameter determination.

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Area of Science:

  • Biomedical Optics
  • Photonics
  • Biophysical Modeling

Background:

  • Accurate modeling of photon propagation in biological tissues is crucial for applications like optical imaging and therapy.
  • Existing models often struggle with strongly absorbing or weakly scattering media.
  • The Delta-Eddington phase function offers a robust approximation for radiative transfer.

Purpose of the Study:

  • To develop a phase-approximation-based method for estimating optical parameters of biological tissues.
  • To integrate global and local optimization algorithms for efficient parameter retrieval.
  • To validate the proposed method using numerical simulations and experimental phantom studies.

Main Methods:

  • Generalization of the Delta-Eddington phase function for radiative transfer modeling.
  • Development of an iterative algorithm combining differential evolution (global search) and conjugate gradient (local search) methods.
  • Application of the method to estimate optical properties in simulated and experimental settings.

Main Results:

  • The phase approximation model demonstrated high accuracy across a wide range of optical properties.
  • The proposed iterative algorithm effectively estimated optical parameters.
  • Successful validation in both numerical simulations and phantom experiments confirmed the method's feasibility and merits.

Conclusions:

  • The phase-approximation-based method is a viable and accurate approach for optical parameter estimation in biological tissues.
  • The hybrid optimization strategy enhances the efficiency and reliability of parameter retrieval.
  • This method holds promise for advancing optical diagnostics and therapeutic applications in biomedicine.