漫反射红外傅里叶变换
漫反射
光学
蒙特卡罗方法
反射率
信号(编程语言)
散射
光谱学
材料科学
吸收(声学)
计算机科学
物理
化学
统计
数学
光催化
量子力学
生物化学
催化作用
程序设计语言
作者
Dirk J. Faber,Anouk L. Post,Henricus J. C. M. Sterenborg,Ton G. van Leeuwen
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-03-31
卷期号:45 (7): 2078-2078
被引量:9
摘要
Cancer progression leads to changing scattering properties of affected tissues. Single fiber reflectance (SFR) spectroscopy detects these changes at small spatial scales, making it a promising tool for early in situ detection. Despite its simplicity and versatility, SFR signal modeling is hugely complicated so that, presently, only approximate models exist. We use a classic approach from geometrical probability to derive accurate analytical expressions for diffuse reflectance in SFR that shows a strong improvement over existing models. We consider the case of limited collection efficiency and the presence of absorption. A Monte Carlo light transport study demonstrates that we adequately describe the contribution of diffuse reflectance to the SFR signal. Additional steps are required to include semi-ballistic, non-diffuse reflectance also present in the SFR measurement.
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