To test the performance of our MCLUT-based inverse model, we created 21 tissue phantoms with hemoglobin (Hb) (Sigma-Aldrich) as the absorber and polystyrene beads ($diameter=1\u2009\u2009\mu m$) as the scatterer. Hb concentration [(Hb)] ranged from 0 to $3\u2009\u2009mg/ml$, and the reduced scattering coefficient [$\mu s\u2032(\lambda 0=630\u2009\u2009nm)$] ranged from 6.4 to $27.5\u2009\u2009cm\u22121$. We used Mie theory to calculate the $\mu s'$ of the tissue phantoms. For our inverse model, we assumed the absorption in the visible range was due to oxy-hemoglobin. We measured the optical density for the $HbO2$ solution using a spectrophotometer and calculated the absorption spectrum using Beer’s law. Because the addition of $HbO2$ dilutes the solution, a small change in $\mu s\u2032$ was accounted for when calculating the known values for $\mu s\u2032$. The DRS system consisted of a xenon flash lamp (Model: E6611, Hamamatsu) as the light source, a spectrograph (Model SP2150i, Princeton Intruments) and camera (Cool-SNAP, Photometrics) as the spectrometer; and a fiber optic probe with the geometry described above (FiberTechOptica, Ontario, Canada). The diffuse reflectance spectrum and its associated fit can be seen in Fig. 3(b) and shows that the inverse model can accurately fit the experimental data. Figure 4(a) and 4(b) shows scatter plots of the extracted versus expected for $\mu s\u2032(\lambda 0)$ and [Hb], respectively. The solid line in each graph is the line of perfect agreement. The results indicate there is excellent agreement between the extracted and expected optical properties. The MCLUT inverse model estimated the optical properties over a wide range with average root-mean-square percent errors of 1.74% for $\mu s\u2032$, 0.74% for $\mu a$, and 2.42% for [Hb]. We compared the performance of our MCLUT-based model to an experimental LUT-based model. The MCLUT model was able to estimate $\mu s\u2032$ and $\mu a$ with decreases in percent error of 3.16% and 10.86%, respectively, when compared to the experimental LUT model.^{7}