Early prediction of the bactericidal and bacteriostatic effect of imipenem and doxycycline using tabletop scanning electron microscopy
This early prediction allows a rapid and early identification of the bactericidal and bacteriostatic effects as compared to culture that would take a minimum of 18 hours. This has several future applications in the development of SEM-automated assays coupled to machine learning models that identify the antibiotic effect and facilitate determination of bacterial susceptibility.
Authors
- Omar Zmerli (ORCID: https://orcid.org/0000-0002-7908-0394)
- Eid Azar (ORCID: https://orcid.org/0000-0002-8368-2670)
- Sara Bellali (ORCID: https://orcid.org/0000-0002-7668-6294)
- Jacques Bou Khalil (ORCID: https://orcid.org/0000-0002-4272-5208)
- A. Hodzic
Institutions
- Aix-Marseille Université (FR)
- Saint George Hospital (LB)
- Méditerranée Infection Foundation (FR)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.3389/fcimb.2024.1431141
- Citations
- 2
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.76
Funders
- Agence Nationale de la Recherche