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开发一种基于琼脂的全自动活菌生长测量平台。

Development of a fully automated platform for agar-based measurement of viable bacterial growth.

机构信息

Infectious Diseases and Vaccines Research, Merck & Co., Inc., Kenilworth, NJ, USA.

Infectious Diseases and Vaccines Research, Merck & Co., Inc., Kenilworth, NJ, USA.

出版信息

SLAS Technol. 2022 Aug;27(4):247-252. doi: 10.1016/j.slast.2022.03.003. Epub 2022 Mar 30.

DOI:10.1016/j.slast.2022.03.003
PMID:35367399
Abstract

Dynamic in vitro antibacterial studies provide valuable insight on effective dosing strategies prior to translating to in vivo models. Frequent sampling is required to monitor the pharmacodynamics (PD) of these studies, leading to significant work when quantifying the bacterial load of the samples. Spreading a bacterial suspension on agar to allow colony counting is a proven process for measuring very low levels of growth, but commercial automation equipment to handle agar plating and colony counting at scale is not readily available. We describe a process to greatly decrease the hands-on time required for PD assays by utilizing general-purpose liquid handling robots to plate bacteria and a custom-made plate imager to automate colony counting. The platform developed handles the biological assay from beginning to end as well as sample tracking at each step of the process. The process relies heavily on custom automation scheduling software to enable dynamic process decisions and coordinate data flow throughout. Using the described platform, we can efficiently quantify >100 PD samples per day while maintaining the necessary dynamic range of the assay. Alleviating the main bottleneck in the dynamic antibacterial studies has allowed us to accelerate the rate of experiments to provide antibacterial dosing data within shorter timelines.

摘要

动态体外抗菌研究为在将研究转化为体内模型之前提供了有价值的有效给药策略见解。需要频繁取样以监测这些研究的药代动力学(PD),这导致在量化样本的细菌负荷时需要大量工作。将细菌悬浮液铺在琼脂上以允许进行菌落计数是一种经过验证的方法,可用于测量非常低水平的生长,但用于大规模处理琼脂平板和菌落计数的商业自动化设备并不容易获得。我们描述了一种通过利用通用液体处理机器人来铺板细菌和定制平板成像仪来自动进行菌落计数,从而大大减少 PD 测定所需的人工时间的过程。所开发的平台从始至终处理生物测定,以及在过程的每个步骤中进行样本跟踪。该过程严重依赖于自定义自动化调度软件来实现动态过程决策和协调整个数据流。使用描述的平台,我们可以每天高效地定量分析超过 100 个 PD 样本,同时保持测定的必要动态范围。减轻动态抗菌研究中的主要瓶颈使我们能够加快实验速度,在更短的时间内提供抗菌给药数据。

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