Reflectance spectroscopy shows itself as a useful tool to characterize turbid media, such as biological tissues. The light backscattered from the medium is usually collected by imaging systems or optical fiber probes. In this work we used an optical fiber probe, with a linear arrangement of the source and detection fibers that allows spatially resolved reflectance (SRR) measurements. Through the use of inverse model, the collected SRR can be exploited to estimate the optical properties of the turbid medium. The estimation process involves matching of the measured and simulated SRR that accounts for all the details of the measurement setting. At small source-detector separations and/or non-negligible absorbance, the reflectance becomes highly dependent on the scattering phase function of the medium, which can be efficiently described by the higher order Legendre moments and related scattering phase function quantifiers (PFQ). In our previous studies, we utilized the Gegenbauer Kernel (GK) scattering phase function to describe the light propagation in turbid samples. However, the domain of GK-based PFQs is quite small and fails to fully encompass the scattering phase functions of microspherical suspensions, typically used for calibration and validation of SRR measurement settings. This limitation could be overcome by utilizing scattering phase function models with a large PFQ domain that may also lead to more accurate and robust inverse model predictions. To verify this hypothesis, we evaluate various scattering phase function models that maximize the PFQ domain and experimentally validate the inverse models by SRR collected from optical phantoms and various turbid samples.
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