Wang Hao, Shiveshwarkar Priyanka, Brzozowski Robert, Zhdanov Arseny, Shi Shulin, Eswara Prahathees, Pyayt Anna
Department of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.
Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E, Fowler Ave. ISA 2015, Tampa, FL 33620, USA.
Biomed Opt Express. 2020 Aug 17;11(9):5060-5069. doi: 10.1364/BOE.396345. eCollection 2020 Sep 1.
The timely knowledge and prescription of the most suitable antibiotic to treat bacterial infections is critical for the recovery of patients battling life-threatening bacterial infections. Unfortunately, current standard-of-care approaches relies on the empiric prescription of an antibiotic, as determination of the most effective antibiotic requires multiple time-consuming steps. These steps often include culturing of the bacterium responsible for infection and subsequent antibiotic susceptibility testing. Here we introduce an optofluidic technology that allows us to capture bacterial cells efficiently and rapidly from different biological samples and use the captured cells for rapid antibiotic selection thereby bypassing the need to culture the bacterium.
及时了解并开出最适合治疗细菌感染的抗生素处方,对于与危及生命的细菌感染作斗争的患者康复至关重要。不幸的是,当前的标准治疗方法依赖于抗生素的经验性处方,因为确定最有效的抗生素需要多个耗时的步骤。这些步骤通常包括培养引起感染的细菌并随后进行抗生素敏感性测试。在此,我们介绍一种光流控技术,该技术使我们能够从不同的生物样本中高效快速地捕获细菌细胞,并将捕获的细胞用于快速抗生素选择,从而无需培养细菌。