Rapid culture-free diagnosis of clinical pathogens via integrated microfluidic-Raman micro-spectroscopy.

ABSTRACT: Antimicrobial resistance (AMR) is a critical global health challenge, demanding rapid and accurate diagnostics to guide timely antimicrobial therapy. Current diagnosis is hindered by prolonged culturing and difficulties detecting low pathogen loads. Here, we present a culture-free diagnostic platform that integrates microfluidics, Raman micro-spectroscopy, and deep learning to deliver "sample-to-report" testing within 20 min. The microfluidic enrichment system employs dialysis-dielectrophoresis (DEP) technology to rapidly isolate pathogens directly from clinical samples with a detection limit as low as <2 colony forming unit (CFU)/ml. Combining a single-cell Raman fingerprint database of 342 clinical isolates from 29 bacterial and 7 fungal species with a 1D ResNet deep learning model, our

SUBMITTER: Li Y 

PROVIDER: S-EPMC12783191 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature