Abstract
We review remote (or “cloud”) lab technologies for life-science experimentation. Compared to other remote labs such as for physics, a particular challenge arises from the variability and stability of biological materials. We describe and compare four biology cloud labs that demonstrate different user interaction modes, i.e., real-time and turn-based interactive, programmed, and augmented batch, respectively, and furthermore regard their underlying hard and software architecture, biological content (“bio-ware”) (i.e., microswimmer phototaxis, slime mold chemotaxis, bacterial growth under antibiotics, RNA folding), and various other features such as the time required for one experiment or scalability to large user numbers. While we generally focus on educational use cases, research applications are included as well. General design rules for biology cloud experimentation labs are derived; open questions regarding future technology and opportunities for wide deployment are discussed. We hope that this review enables stakeholders from the life sciences, engineering, and education to join this relevant and exciting field.
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Acknowledgment
This work was supported by Stanford BioX IIP, Stanford VPOL, Stanford MediaX, and NSF Cyberlearning (NSF 1324753). We would like to thank from R. Das, B. Keep, and R. Waters. Note: This review article summarizes information from various sources; in case where this information was from our own lab’s previous publications we often edited from the original text, and while we cited those original sources, we did not put those text pieces in quotes.
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Hossain, Z., Riedel-Kruse, I.H. (2018). Life-Science Experiments Online: Technological Frameworks and Educational Use Cases. In: Auer, M., Azad, A., Edwards, A., de Jong, T. (eds) Cyber-Physical Laboratories in Engineering and Science Education. Springer, Cham. https://doi.org/10.1007/978-3-319-76935-6_11
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DOI: https://doi.org/10.1007/978-3-319-76935-6_11
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