Point-of-Care Pathogen Testing Using Photonic Crystals and Machine Vision for Diagnosis of Urinary Tract Infections

Urinary tract infections (UTIs) caused by bacterial invasion can lead to life-threatening complications, posing a significant health threat to more than 150 million people worldwide. As a result, there is need for accurate and rapid diagnosis of UTIs to enable more effective treatment. Described here is an intelligent diagnostic system constructed for bacterial detection using an immunobiosensor, signal-amplification biochip, and image processing algorithm based on machine vision. This prototype can quickly detect bacteria by collection of enhanced luminescence enabled by the photonic crystals integrated into the biochip. By use of a machine vision algorithm, the very small luminescence signals are analyzed to provide a low detection limit and wide dynamic range. This sensor system can offer an affordable, accessible, and user-friendly digital diagnostic solution, possibly suitable for wearable technology, that could improve treatment of this challenging disease.

Automated summary

Urinary tract infections caused by bacterial invasion can be life-threatening and pose a significant health threat to over 150 million people globally. An intelligent diagnostic system using an immunobiosensor, signal-amplification biochip, and machine vision-based image processing algorithm has been developed for accurate and rapid bacterial detection, offering a potentially affordable, user-friendly digital diagnostic solution with enhanced luminescence and wide dynamic range.