Quantitative Measurements in Scattering Media: Photon Time-of-Flight Analysis with Analytical Descriptors

Author:

Leonardi Lorenzo1,Burns David H.1

Affiliation:

1. Department of Chemistry, McGill University, 801 Sherbrooke St. W., Montreal, Quebec, H3A 2K6 Canada

Abstract

A method for the separate determination of the absorption and scattering properties from time-resolved photon distributions is described. Time distributions inherently contain information on the absorption and scattering processes. We have investigated the use of analytic descriptors such as derivatives and moments on the time distributions to facilitate the extraction of these optical coefficients. The descriptors were specifically chosen on the premise that circuits can be constructed to process the signal. Selection of the descriptor processing techniques and estimates of the absorption and scattering coefficients were made with the use of stepwise multilinear regression (STMLR). Estimates employing the analytical descriptors were evaluated experimentally with the use of photon time-of-flight in both transmittance and reflectance geometries. Results for both transmittance and reflectance indicate that the principal parameters, which describe the absorption and scattering coefficient, are the mean fall and rise times, respectively. Absorption estimates were primarily related to the trailing edge of the time profiles and scattering, the rising edge. The results suggest that practical instruments may be developed which would allow for a robust quantification in highly scattering media.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3