The Design and Evaluation of a Mobile System for Rapid Diagnostic Test Interpretation
summary
A smartphone app called RDTScan guides users with real-time feedback (brightness, blur, position) and captures RDT images without hardware attachments, using Laplacian sharpness checks, histogram/CLAHE on the HLS L channel, trough detection for lines, and SIFT feature matching to align templates. The system configures new tests from one template image plus metadata and shows a limit-of-detection comparable or better than experts in lab tests; field studies report 97.5% (Australia flu) and 96.3% (Kenya malaria) accuracy.
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