工作流程
计算机科学
自动化
可扩展性
软件工程
软件
开源
协议(科学)
机器人学
工程管理
嵌入式系统
数据科学
数据库
人工智能
操作系统
机器人
工程类
机械工程
病理
医学
替代医学
作者
Justin D. Vrana,Orlando de Lange,Yaoyu Yang,Garrett Newman,Ayesha Saleem,Abraham Miller,Cameron Cordray,Samer Halabiya,Michelle Parks,Eriberto Lopez,Sarah Goldberg,Benjamin J. Keller,Devin Strickland,Eric Klavins
出处
期刊:Synthetic biology
[Oxford University Press]
日期:2021-01-01
卷期号:6 (1): ysab006-ysab006
被引量:36
标识
DOI:10.1093/synbio/ysab006
摘要
Abstract Automation has been shown to improve the replicability and scalability of biomedical and bioindustrial research. Although the work performed in many labs is repetitive and can be standardized, few academic labs can afford the time and money required to automate their workflows with robotics. We propose that human-in-the-loop automation can fill this critical gap. To this end, we present Aquarium, an open-source, web-based software application that integrates experimental design, inventory management, protocol execution and data capture. We provide a high-level view of how researchers can install Aquarium and use it in their own labs. We discuss the impacts of the Aquarium on working practices, use in biofoundries and opportunities it affords for collaboration and education in life science laboratory research and manufacture.
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