The accurate measurement of blood hematocrit levels in ocular vessels holds significant clinical value by saving time, minimizing discomfort, and reducing the use of single-use cuvettes, which generates significant biohazardous waste. We present a novel approach for non-invasive measurement of blood hematocrit levels in retinal vasculature using a modified full-field fundus imaging system centered around two isosbestic wavelengths. To aid in the selection of bandpass filters, we developed a detailed Monte-Carlo simulation of our imaging system applied to retinal vasculature. We also present this model as a tool to analyze the images coming from the Fundus camera, which helps us understand what tissue and system parameters affect our in-vivo measurements. We present the analysis methods employed for data from a clinical trial data and demonstrate the trends between the optical densities of the collected images and our Monte Carlo simulations.
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