Multipad agarose plate: a rapid and high-throughput approach for antibiotic susceptibility testing.

antibiotic susceptibility testing antimicrobial resistance imaging bacteria

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
Mar 2024
Historique:
medline: 27 3 2024
pubmed: 27 3 2024
entrez: 26 3 2024
Statut: ppublish

Résumé

We describe a phenotypic antibiotic susceptibility testing (AST) method that can provide an eightfold speed-up in turnaround time compared with the current clinical standard by leveraging advances in microscopy and single-cell imaging. A newly developed growth plate containing 96 agarose pads, termed the multipad agarose plate (MAP), can be assembled at low cost. Pads can be prepared with dilution series of antibiotics. Bacteria are seeded on the pads and automatically imaged using brightfield microscopy, with a fully automated segmentation pipeline quantifying microcolony formation and growth rate. Using a test set of nine antibiotics with very different targets, we demonstrate that accurate minimum inhibitory concentration (MIC) measurements can be performed based on the growth rate of microcolonies within 3 h of incubation with the antibiotic when started from exponential phase. Faster, reliable and high-throughput methods for AST, such as MAP, could improve patient care by expediting treatment initiation and alleviating the burden of antimicrobial resistance.

Identifiants

pubmed: 38531408
doi: 10.1098/rsif.2023.0730
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20230730

Auteurs

Morten Kals (M)

Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK.
Synoptics Ltd, Cambridge CB4 1TF, UK.

Leonardo Mancini (L)

Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK.

Jurij Kotar (J)

Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK.

Allen Donald (A)

Synoptics Ltd, Cambridge CB4 1TF, UK.

Pietro Cicuta (P)

Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK.

Classifications MeSH