Northwestern University, Department of Biomedical Engineering, Evanston, IL 60218, USA.
J Biomed Opt. 2013 Feb;18(2):27012. doi: 10.1117/1.JBO.18.2.027012.
Several optical techniques and fiber-optic probe systems have been designed to measure the optical properties of tissue. While a wide range of options is often beneficial, it poses a problem to investigators selecting which method to use for their biomedical application of interest. We present a methodology to optimally select a probe that matches the application requirements. Our method is based both on matching a probe's mean sampling depth with the optimal diagnostic depth of the clinical application and on choosing a probe whose interrogation depth and path length is the least sensitive to alterations in the target medium's optical properties. Satisfying these requirements ensures that the selected probe consistently assesses the relevant tissue volume with minimum variability. To aid in probe selection, we have developed a publicly available graphical user interface that takes the desired sampling depth and optical properties of the medium as its inputs and automatically ranks different techniques in their ability to robustly target the desired depth. Techniques investigated include single fiber spectroscopy, differential path length spectroscopy, polarization-gating, elastic light scattering spectroscopy, and diffuse reflectance. The software has been applied to biological case studies.
已经设计了几种光学技术和光纤探头系统来测量组织的光学特性。虽然广泛的选择通常是有益的，但对于选择哪种方法用于他们感兴趣的生物医学应用的研究人员来说，这是一个问题。我们提出了一种优化选择与应用要求匹配的探头的方法。我们的方法既基于将探头的平均采样深度与临床应用的最佳诊断深度相匹配，又基于选择其询问深度和路径长度对目标介质光学特性变化最不敏感的探头。满足这些要求可确保所选探头始终以最小的变异性评估相关的组织体积。为了帮助探头选择，我们开发了一个公共可用的图形用户界面，该界面将所需的采样深度和介质的光学特性作为输入，并根据其在稳健地瞄准所需深度方面的能力自动对不同技术进行排名。所研究的技术包括单纤维光谱学、差分路径长度光谱学、偏振门控、弹性光散射光谱学和漫反射。该软件已应用于生物案例研究。
