ABSTRACT Urinalysis is a noninvasive diagnostic method that has traditionally depended on laboratory equipment and manual procedures. However, advancements in portable technology are making the process more accessible and automated. In this study, we introduce a human‐interruption‐free automated robotic platform for urinalysis, capable of analyzing biological colorimetric markers using a smartphone‐based imaging system housed within a custom‐designed optical chamber. The platform integrates a robotic arm and a dedicated Android application to automate the assay process within the chamber, eliminating manual intervention and ensuring consistent execution across multiple tests. The system also processes the resulting images to quantify target urine markers. We conducted detailed evaluations of the robotic operation, light distribution, image processing, and measurement reproducibility. Using glucose detection in urine as a model, the platform demonstrated performance that matches or surpasses that of conventional urinalysis methods. These results suggest that the proposed device is a promising solution for fully automated analysis of biological samples in routine point‐of‐care (RPoC) settings.
Islam et al. (2026) studied this question.