Evaluation of automated time-lapse microscopy for assessment of in vitro activity of antibiotics
2017 (English)In: Journal of Microbiological Methods, ISSN 0167-7012, E-ISSN 1872-8359, Vol. 132, 69-75 p.Article in journal (Refereed) Published
This study aimed to evaluate the potential of a new time-lapse microscopy based method (oCelloScope) to efficiently assess the in vitro antibacterial effects of antibiotics. Two E. con and one P. aeruginosa strain were exposed to ciprofloxacin, colistin, ertapenem and meropenem in 24-h experiments. Background corrected absorption (BCA) derived from the oCelloScope was used to detect bacterial growth. The data obtained with the oCelloScope were compared with those of the automated Bioscreen C method and standard time-kill experiments and a good agreement in results was observed during 6-24 h of experiments. Viable counts obtained at 1, 4, 6 and 24 h during oCelloScope and Bioscreen C experiments were well correlated with the corresponding BCA and optical density (OD) data. Initial antibacterial effects during the first 6 h of experiments were difficult to detect with the automated methods due to their high detection limits (approximately 105 CFU/mL for oCelloScope and 107 CFU/mL for Bioscreen C), the inability to distinguish between live and dead bacteria and early morphological changes of bacteria during exposure to ciprofloxacin, ertapenem and meropenem. Regrowth was more frequently detected in time-kill experiments, possibly related to the larger working volume with an increased risk of preexisting or emerging resistance. In comparison with Bioscreen C, the oCelloScope provided additional information on bacterial growth dynamics in the range of 105 to 107 CFU/mL and morphological features. In conclusion, the oCelloScope would be suitable for detection of in vitro effects of antibiotics, especially when a large number of regimens need to be tested.
Place, publisher, year, edition, pages
2017. Vol. 132, 69-75 p.
Gram-negative bacteria, PKPD, Bacterial morphology, oCelloScope, Bioscreen C, Time-kill experiments
Microbiology in the medical area
IdentifiersURN: urn:nbn:se:uu:diva-317690DOI: 10.1016/j.mimet.2016.11.001ISI: 000393017100012PubMedID: 27836633OAI: oai:DiVA.org:uu-317690DiVA: diva2:1082685
FunderAFA InsurancePublic Health Agency of Sweden