Automated image analysis for quantification of filamentous bacteria

BMC Microbiology

Methodology Article

Marlene Fredborg¹  Teis E. Sondergaard²  Mikala Wang³  Flemming S. Rosenvinge⁴  Erik Spillum⁵  Stine Kroghsbo⁵ 

[1] Department of Animal Science, Faculty of Science and Technology, Aarhus University, Blichers Allé 20, 8830, Tjele, Denmark;Department of Clinical Microbiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark;Department of Biotechnology, Chemistry and Environmental Engineering, Aalborg University, Sohngaardsholmsvej 49, 9000, Aalborg, Denmark;Department of Clinical Microbiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark;Department of Clinical Microbiology, Vejle Hospital, Kabbeltoft 25, 7100, Vejle, Denmark;Philips BioCell, Gydevang 42, 3450, Allerød, Denmark;

关键词: Morphology;    Antibiotic-induced filamentation;    Digital microscopy;    Time-lapse imaging;    Cell elongation;    Escherichia coli;   

DOI  :  10.1186/s12866-015-0583-5

 received in 2015-06-16, accepted in 2015-10-23,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundAntibiotics of the β-lactam group are able to alter the shape of the bacterial cell wall, e.g. filamentation or a spheroplast formation. Early determination of antimicrobial susceptibility may be complicated by filamentation of bacteria as this can be falsely interpreted as growth in systems relying on colorimetry or turbidometry (such as Vitek-2, Phoenix, MicroScan WalkAway). The objective was to examine an automated image analysis algorithm for quantification of filamentous bacteria using the 3D digital microscopy imaging system, oCelloScope.ResultsThree E. coli strains displaying different resistant profiles and differences in filamentation kinetics were used to study a novel image analysis algorithm to quantify length of bacteria and bacterial filamentation. A total of 12 β-lactam antibiotics or β-lactam–β-lactamase inhibitor combinations were analyzed for their ability to induce filamentation. Filamentation peaked at approximately 120 min with an average cell length of 30 μm.ConclusionThe automated image analysis algorithm showed a clear ability to rapidly detect and quantify β-lactam-induced filamentation in E. coli. This rapid determination of β-lactam-mediated morphological alterations may facilitate future development of fast and accurate AST systems, which in turn will enable early targeted antimicrobial therapy. Therefore, rapid detection of β-lactam-mediated morphological changes may have important clinical implications.

【 授权许可】

CC BY   
© Fredborg et al. 2015