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Peterman, Joseph

A5011524788 | I55732556

Mayo Clinic

Arizona State University

Citations 2

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

Analytical Chemistry | April 28, 2021 | Volume: 93 | Issue: 18 | Pages: 7011-7021

10.1021/acs.analchem.1c00019 | PMID 33909404

Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events

Small | November 30, 2020 | Volume: 16 | Issue: 52 | Pages: No page available

10.1002/smll.202004148 | PMID 33252191

Abstract With the increasing prevalence of antibiotic resistance, the need to develop antimicrobial susceptibility testing (AST) technologies is urgent. The current challenge has been to perform the antibiotic susceptibility testing in short time, directly with clinical samples, and with antibiotics over a broad dynamic range of clinically relevant concentrations. Here, a technology for point‐of‐care diagnosis of antimicrobial‐resistant bacteria in urinary tract infections, by imaging the clinical urine samples directly with an innovative large volume solution scattering imaging (LVSi) system and analyzing the image sequences with a single‐cell division tracking method is developed. The high sensitivity of single‐cell division tracking associated with large volume imaging enables rapid antibiotic susceptibility testing directly on the clinical urine samples. The results demonstrate direct detection of bacterial infections in 60 clinical urine samples with a 60 min LVSi video, and digital AST of 30 positive clinical samples with 100% categorical agreement with both the clinical culture results and the on‐site agar plating validation results. This technology provides opportunities for precise antibiotic prescription and proper treatment of the patient within a single clinic visit.