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A cloud laboratory is a heavily automated, centralized research laboratory where scientists can run an experiment from a computer in a remote location. Cloud laboratories offer the execution of life science research experiments as a service, allowing researchers to retain full control over experimental design. Users create experimental protocols through a high-level API and the experiment is executed in the cloud laboratory, with no need for the user to be involved.

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  • Cloud laboratory (en)
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  • A cloud laboratory is a heavily automated, centralized research laboratory where scientists can run an experiment from a computer in a remote location. Cloud laboratories offer the execution of life science research experiments as a service, allowing researchers to retain full control over experimental design. Users create experimental protocols through a high-level API and the experiment is executed in the cloud laboratory, with no need for the user to be involved. (en)
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  • A cloud laboratory is a heavily automated, centralized research laboratory where scientists can run an experiment from a computer in a remote location. Cloud laboratories offer the execution of life science research experiments as a service, allowing researchers to retain full control over experimental design. Users create experimental protocols through a high-level API and the experiment is executed in the cloud laboratory, with no need for the user to be involved. Cloud labs reduce variability in experimental execution, as the code can be interrogated, analyzed, and executed repeatedly. They democratize access to expensive laboratory equipment while standardizing experimental execution, which could potentially help address the replication crisis—what might before have been described in a paper as "mix the samples" is replaced by instructions for a specified machine to mix at a specified rpm rate for a specified time, with relevant factors such as the ambient temperature logged. They also reduce costs by sharing capital costs across many users, by running experiments in parallel, and reducing instrument downtime. Finally, they facilitate collaboration by making it easier to share protocols, data, and data processing methods through the cloud. (en)
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