Aquarium: open-source laboratory software for design, execution and data management

被引:17
|
作者
Vrana, Justin [1 ]
de Lange, Orlando [2 ]
Yang, Yaoyu [2 ]
Newman, Garrett [2 ]
Saleem, Ayesha [2 ]
Miller, Abraham [2 ]
Cordray, Cameron [2 ]
Halabiya, Samer [2 ]
Parks, Michelle [2 ]
Lopez, Eriberto [2 ]
Goldberg, Sarah [2 ]
Keller, Benjamin [2 ]
Strickland, Devin [2 ]
Klavins, Eric [2 ]
机构
[1] Univ Washington, Dept Bioengn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Elect & Comp Engn, Seattle, WA 98195 USA
关键词
automation; replicability; software; LIMS; REPRODUCIBILITY; AUTOMATION; SCIENCE;
D O I
10.1093/synbio/ysab006
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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 Aquariumand use it in their own labs. We discuss the impacts of the Aquariumon working practices, use in biofoundries and opportunities it affords for collaboration and education in life science laboratory research and manufacture.
引用
收藏
页数:9
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