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Support academic access to automated cloud labs to improve reproducibility
Chase Armer1, Florent Letronne2, Erika DeBenedictis3
1University of Washington, Seattle, Washington, United States of America.
Plos Biology
|January 3, 2023
Summary
Cloud laboratories improve experimental biology by enabling remote, robotic experiments. Funding and training are key to wider academic adoption of this technology.
Area of Science:
- Experimental biology
- Biotechnology
- Laboratory automation
Background:
- Traditional experimental biology faces challenges in reproducibility and accessibility.
- Scalability of biological experiments is often limited by physical infrastructure and resources.
Purpose of the Study:
- To highlight the potential of cloud laboratories in advancing experimental biology.
- To identify strategies for overcoming adoption barriers in academia.
Main Methods:
- Remote execution of experiments in automated robotic facilities.
- Analysis of factors influencing the adoption of cloud laboratory technology.
Main Results:
- Cloud laboratories enhance the reproducibility, accessibility, and scalability of biological experiments.
- Financial and educational support are crucial for academic integration.
Conclusions:
- Cloud laboratory technology offers significant advantages for the future of experimental biology.
- Targeted programs are necessary to facilitate the widespread adoption of cloud labs in academic research.
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