Rapid Antimicrobial Susceptibility Testing on Clinical Urine Samples by Video-Based Object Scattering Intensity...

Area of Science:

• Microbiology
• Medical Diagnostics
• Biotechnology

Background:

• Antibiotic-resistant infections pose a significant public health threat.
• Current methods for identifying bacterial pathogens and performing antimicrobial susceptibility testing (AST) are time-consuming.
• There is a critical need for rapid, point-of-care diagnostic tools.

Purpose of the Study:

• To develop and validate a novel point-of-care technology for rapid bacterial identification and AST.
• To enable timely diagnosis and appropriate antibiotic prescription for urinary tract infections (UTIs).

Main Methods:

• Utilized a low-magnification solution scattering imaging system (1-2× optics).
• Employed a real-time video-based object scattering intensity detection method.
• Developed a simplified image processing algorithm to analyze bacterial growth and antibiotic response from scattering intensity profiles.

Main Results:

• Achieved ~92% accuracy for UTI diagnosis within 60-90 minutes using 130 clinical urine samples.
• Demonstrated 98% categorical agreement for rapid AST compared to clinical culture and parallel validation.
• The method accommodates a wide range of bacterial concentrations and simplifies sample preparation.

Conclusions:

• The developed technology offers a rapid and accurate solution for point-of-care AST.
• This innovation can significantly improve infection diagnosis and guide antibiotic selection at the point of care.
• The simplified processing enhances real-time signal readout and multiplexed detection capabilities.