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Proceedings ArticleDOI

Optimal source to detector separation for extracting sub-dermal chromophores in fiber optic diffuse reflectance spectroscopy: a simulation study

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TLDR
In this article, the authors used the depth sensitivity of diffuse reflectance spectroscopy and optimal source to detector fiber separation for maximum reflectance collection efficiency from local blood region in skin.
Abstract
Localization and determination of blood region parameters in skin tissue can serve as a valuable supplement to standard non invasive techniques, especially in accessing the degree of depth of burns on skin and for the classification of vascular malformations. Quantitative optical examination of skin local blood region requires the use of depth sensitive techniques and preferential probing for assessment of data from specific layers of skin tissue. This work incorporates the depth sensitivity of diffuse reflectance spectroscopy and optimal source to detector fiber separation for maximum reflectance collection efficiency from local blood region in skin. Monte Carlo simulation for diffuse reflectance was performed on a multi layered skin tissue model consisting of epidermis, perfused dermis and localized blood region. It was found that the slope of the spatially resolved reflectance curve plotted with respect to the source to detector separation distance in semi log scale varies with the depth of the local blood region at specific wavelengths corresponding to the absorption wavelengths of hemoglobin. From the depth information obtained from the spatially resolved reflectance data, the optimum source to detector separation (SDS) is determined for maximum collection efficiency from the chromophore layer. The results obtained from simulation suggest the design of a linearly variable source to detector separation probe for preferential analysis of the depth of a specific tissue layer and subsequent determination of optimal source to detector separation for extracting the layer information.

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Journal ArticleDOI

Quality Assessment of Fruits and Vegetables Based on Spatially Resolved Spectroscopy: A Review

TL;DR: In this article , the authors reviewed the applications of spatially resolved spectroscopy for measuring the quality attributes of fruits and vegetables in detail, including the principle of light transfer in biological tissues, diffusion approximation theory and methodologies.
Proceedings ArticleDOI

A sequential method for measuring the optical properties of two-layer media with spatially-resolved diffuse reflectance: simulation study

TL;DR: In this paper, a sequential method for estimating the optical properties of two-layer media with spatially-resolved diffuse reflectance was proposed and validated using Monte Carlo generated reflectance profiles.
Journal ArticleDOI

A sequential method for estimating the optical properties of two-layer agro-products from spatially-resolved diffuse reflectance: Simulation

TL;DR: In this paper, a sequential method for estimating the optical properties of two-layer biological tissues with spatially-resolved diffuse reflectance was proposed and validated using Monte Carlo simulations, and the relationship between the penetration depth of detected photons and source-detector separation was first studied.
Journal ArticleDOI

Signal and measurement considerations for human translation of diffuse in vivo flow cytometry

TL;DR: The analysis of the impact of DiFC instrument geometry and wavelength on the detected DiFC signal and on the maximum depth of detection of a moving cell suggests that circulating cells and nanosensors could in principle be detectable in circulation in humans.
Posted ContentDOI

Signal and Measurement Considerations for Human Translation of Diffuse in vivo Flow Cytometry

TL;DR: In this paper , the authors used Monte Carlo simulations to compute Jacobian (sensitivity) matrices for a range of source-detector separations and tissue optical properties over the visible and near infrared (NIR) spectrum.
References
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Sensitivity of laser opto-acoustic imaging in detection of small deeply embedded tumors

TL;DR: The results suggest that the opto-acoustic imaging may occupy a significant niche in early detection of cancer in the breast and other organs.
Journal ArticleDOI

Computer simulation of the skin reflectance spectra.

TL;DR: The reflectance spectra of the human skin in visible and near-infrared (NIR) spectral region have been calculated using the Monte Carlo technique, and the specular and internal reflection on the medium surface is taken into account.
Journal ArticleDOI

Depth sensitivity and source-detector separations for near infrared spectroscopy based on the Colin27 brain template.

TL;DR: It is found that increasing the source-detector separation from 20 to 65 mm provides monotonic increases in sensitivity to brain tissue, and it is demonstrated that sensitivity in depth decreases exponentially, with a “rule-of-thumb” formula.
Journal ArticleDOI

Rapid and accurate estimation of blood saturation, melanin content, and epidermis thickness from spectral diffuse reflectance

TL;DR: A previously developed accurate and efficient semiempirical model for diffuse reflectance of two layered media was used instead of time-consuming Monte Carlo simulations and could be extended to other two-layer absorbing and scattering systems.
Journal ArticleDOI

Reconstruction of in vivo skin autofluorescence spectrum from microscopic properties by Monte Carlo simulation.

TL;DR: Comparison of the reconstructed in vivo spectrum with the measured spectra showed good agreement, outside of the blood absorption bands, suggesting that (i) the theoretical modeling, (ii) the skin optical parameters used, and (iii) the measured microscopic morphology and spectral data are consistent.
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