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低成本液体处理机器人在工业制药开发环境中的深度集成。

Deep integration of low-cost liquid handling robots in an industrial pharmaceutical development environment.

机构信息

F Hoffmann-La Roche AG, 4070 Basel, Switzerland.

Genentech Inc, CA 94080, United States.

出版信息

SLAS Technol. 2024 Oct;29(5):100180. doi: 10.1016/j.slast.2024.100180. Epub 2024 Aug 31.

Abstract

The pharmaceutical industry is increasingly embracing laboratory automation to enhance experimental efficiency and operational resilience, particularly through the integration of automated liquid handlers (ALHs). This paper explores the integration of the low-cost Opentrons OT-2 liquid handling robot with F. Hoffmann-La Roche AG's in-house workflow orchestration software, AutoLab, to overcome barriers to lab automation. By leveraging the OT-2's development-oriented interfaces and AutoLab's modular architecture, we achieved a user-friendly, cost-efficient, and flexible automation solution that aligns with FAIR (findable, accessible, interoperable, reusable) data principles. We demonstrate an advanced workflow development methodology, utilizing the software architecture, that facilitates the creation of two flexible pipetting protocols and medium complexity assays. This deep integration approach diminishes the learning curve for novice users while simultaneously enhancing the overall efficiency and reliability of the experimental workflow. Our findings suggest that such integrations can significantly mitigate the challenges associated with lab automation, including cost, complexity, and adaptability, paving the way for more accessible and robust automated systems in pharmaceutical research.

摘要

制药行业越来越多地采用实验室自动化技术来提高实验效率和运营弹性,特别是通过集成自动化液体处理设备(ALH)。本文探讨了将低成本 Opentrons OT-2 液体处理机器人与罗氏公司内部的工作流程编排软件 AutoLab 集成,以克服实验室自动化的障碍。通过利用 OT-2 的面向开发的接口和 AutoLab 的模块化架构,我们实现了一个用户友好、成本效益高且灵活的自动化解决方案,符合 FAIR(可发现、可访问、可互操作、可重用)数据原则。我们展示了一种先进的工作流程开发方法,利用软件架构,创建了两个灵活的移液协议和中等复杂的测定。这种深度集成方法降低了新手用户的学习曲线,同时提高了实验工作流程的整体效率和可靠性。我们的研究结果表明,这种集成可以显著减轻实验室自动化相关的挑战,包括成本、复杂性和适应性,为制药研究中更具可访问性和稳健性的自动化系统铺平道路。

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