Department of Animal Science, Faculty of Science and Technology, Aarhus University, Tjele, Denmark.
J Clin Microbiol. 2013 Jul;51(7):2047-53. doi: 10.1128/JCM.00440-13. Epub 2013 Apr 17.
Rapid antibiotic susceptibility testing is in high demand in health care fields as antimicrobial-resistant bacterial strains emerge and spread. Here, we describe an optical screening system (oCelloScope) which, based on time-lapse imaging of 96 bacteria-antibiotic combinations at a time, introduces real-time detection of bacterial growth and antimicrobial susceptibility with imaging material to support the automatically generated graphs. Automated antibiotic susceptibility tests of a monoculture showed statistically significant antibiotic effects within 6 min and within 30 min in complex samples from pigs suffering from catheter-associated urinary tract infections. The oCelloScope system provides a fast high-throughput screening method for detecting bacterial susceptibility that might entail an earlier diagnosis and introduction of appropriate targeted therapy and thus combat the threat from multidrug-resistant pathogenic bacteria. The oCelloScope system can be employed for a broad range of applications within bacteriology and might present new vistas as a point-of-care instrument in clinical and veterinary settings.
在出现和传播抗药性细菌菌株的情况下，医疗保健领域对抗生素敏感性的快速检测需求很高。在这里，我们描述了一种光学筛选系统（oCelloScope），它基于同时对 96 个细菌-抗生素组合进行延时成像，引入了实时检测细菌生长和抗生素敏感性的方法，并用成像材料来支持自动生成的图表。对来自患有导管相关性尿路感染的猪的复杂样本中的单培养物进行的自动抗生素敏感性测试表明，在 6 分钟内和 30 分钟内具有统计学显著的抗生素作用。oCelloScope 系统提供了一种快速高通量的筛选方法，用于检测细菌的敏感性，这可能有助于更早地诊断并引入适当的靶向治疗，从而对抗多药耐药性病原菌的威胁。oCelloScope 系统可广泛应用于细菌学领域，并可能成为临床和兽医环境中的即时护理仪器，带来新的前景。
