US20250205699
2025-06-26
Performing operations; transporting
B01L3/5023
The system is an advanced urine test strip designed for at-home use, focusing on the detection and analysis of multiple urinary biomarkers. It features a white polymer substrate with chemically treated test pads, reference calibration markers, and a machine-readable code. A protective overlay ensures optimal fluid absorption while preventing contamination. A smartphone application processes images of the strip, applying color correction algorithms to interpret biomarker levels accurately.
The urine test strip incorporates a reconfigured layout of test pads for enhanced accuracy when scanned by a smartphone camera. It includes a machine-readable code for precise calibration and alignment, and the strip's physical form factor is redesigned to ensure consistent colorimetric readings. The protective overlay prevents contamination and ensures rapid fluid absorption, reducing user error and providing comprehensive health data through digital integration.
Comprising a substrate, chemically treated test pads, reference calibration markers, and a machine-readable code, the strip allows for precise biomarker detection. The substrate supports all components and prevents urine from spreading uncontrollably. Test pads are arranged to optimize fluid absorption and facilitate accurate scanning. Reference calibration markers standardize colorimetric analysis, compensating for environmental variations.
The smartphone application captures images of the test strip, identifies test pad reactions, and corrects for lighting and camera inconsistencies using advanced image processing algorithms. It interprets biomarker levels against predefined thresholds, providing real-time health insights. Historical test results are stored for trend tracking, enabling users to monitor changes over time and share results with healthcare providers.
This system offers enhanced accuracy through integrated calibration and improved user experience via guided digital analysis. It eliminates human error common in manual interpretation by leveraging smartphone-based automation. The modular design supports future adaptations for additional biomarkers and expanded health assessments, transforming at-home urine testing into a comprehensive diagnostic tool.