A Novel Automatic Rapid Diagnostic Test Reader Platform

Area of Science:

• Biomedical Engineering
• Medical Diagnostics
• Point-of-Care Testing

Background:

• Rapid Diagnostic Tests (RDTs) are crucial for disease detection.
• Existing RDT analysis often relies on manual interpretation, leading to potential errors.
• Need for accessible, automated RDT analysis platforms.

Purpose of the Study:

• To develop and evaluate a novel, automated RDT reader platform.
• To enable accurate disease diagnosis using consumer cameras.
• To facilitate digital data management and disease monitoring.

Main Methods:

• Utilized 3D-printed, low-cost components for a compact stand.
• Developed RDT-AutoReader 2.0 software for image analysis (ROI cropping, feature extraction).
• Classified RDT results as invalid, positive, or negative.

Main Results:

• Successfully tested the platform with rotavirus/adenovirus and Helicobacter pylori RDTs.
• The system accurately analyzes RDTs using existing camera technology.
• Digital storage and transfer of patient information, images, and reports achieved.

Conclusions:

• The developed RDT reader platform offers an automated, low-cost solution for disease diagnosis.
• Enables digital record-keeping for patient monitoring and disease progression tracking.
• Potential to enhance real-time disease statistics and global epidemic preparedness.