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Ultrarapid Kinetic Antimicrobial Susceptibility Testing from Blood Using Single-Cell Scattering Phenotypic Imaging
Jiahao Xu1, Yunrui Zhang1, Yueqin Hong2
1Biosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
None:
Bloodstream infections (BSIs) demand rapid antimicrobial susceptibility testing (AST) to guide early targeted therapy. However, current workflows rely on prolonged blood culture enrichment, delaying phenotypic guidance by 48-72 h. Here, we present a kinetic, single-cell nanoscale scattering phenotypic imaging platform that enables ultrarapid AST directly from complex blood samples. The large-volume imaging architecture provides mm3-scale observation with single-cell sensitivity. It allows simultaneous visualization and enumeration of tens to thousands of bacteria as individual nanoscale optical scatters without isolation, labeling, or microfluidic trapping. We introduce a growth-inhibition kinetic model that extracts effective growth parameters from dynamic single-cell population trajectories, enabling robust, mechanism-independent phenotypic classification across antibiotic classes. Using this approach, minimum inhibitory concentrations and categorical susceptibility are determined within 2-3 h for samples containing ≥103 CFU mL-1 and within <8 h for ultralow loads (∼2-10 CFU mL-1) using only a brief preparatory growth step, without conventional blood culture. Applied to clinical blood-culture-positive BSI samples, the platform achieved 96% categorical agreement across 11 antibiotics in 100 tests, demonstrating reliability in clinically complex matrices. We further validated feasibility in whole blood by testing spiked samples across 2-107 CFU mL-1, confirming broad operating range, high detection sensitivity, and resilience to blood matrix interference. This reagent-minimal, imaging-only workflow enables clinically actionable AST turnaround within hours, offering a practical foundation for earlier precision therapy and improved antimicrobial stewardship in critical infection management.
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