Same-day confirmation of infection and antimicrobial susceptibility profiling using flow cytometry.

Background: The annual mortality burden of antimicrobial resistant infections exceeds 1.27 million/year. With serious infections, every hour without effective antimicrobial therapy results in a 6.

Development, deployment and in-field demonstration of mobile coronavirus SARS-CoV-2 Nucleic acid amplification test.

The evolving SARS-CoV-2 coronavirus pandemic presents a series of challenges to clinical diagnostic services. Many proprietary PCR platforms deployed outside centralised laboratories have limited capacity to upscale when public health demands increase. We set out to develop and validate an open-platform mobile laboratory for remote area COVID-19 diagnosis, with a subsequent field trial.

A fast impedance-based antimicrobial susceptibility test.

There is an urgent need to develop simple and fast antimicrobial susceptibility tests (ASTs) that allow informed prescribing of antibiotics. Here, we describe a label-free AST that can deliver results within an hour, using an actively dividing culture as starting material. The bacteria are incubated in the presence of an antibiotic for 30 min, and then approximately 10 cells are analysed one-by-one with microfluidic impedance cytometry for 2-3 min.

Same-day antimicrobial susceptibility test using acoustic-enhanced flow cytometry visualized with supervised machine learning.

Antimicrobial susceptibility is slow to determine, taking several days to fully impact treatment. This proof-of-concept study assessed the feasibility of using machine-learning techniques for analysis of data produced by the flow cytometer-assisted antimicrobial susceptibility test (FAST) method we developed. We used machine learning to assess the effect of antimicrobial agents on bacteria, comparing FAST results with broth microdilution (BMD) antimicrobial susceptibility tests (ASTs).