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Engineering biology and automation-Replicability as a design principle.
Matthieu Bultelle1, Alexis Casas1, Richard Kitney1
1Department of Bioengineering Imperial College London London UK.
Engineering Biology
|December 30, 2024
Summary
Automation in engineering biology must prioritize replicability for error control. Designing automated pipelines with replicability at their core is essential for large-scale biological sample processing in biofoundries.
Area of Science:
- Engineering Biology
- Automation and Robotics
Background:
- Engineering biology applications require processing large numbers of biological samples.
- Current computational models have limited predictive power, necessitating experimental validation.
- Investigating vast design spaces is crucial for solving complex biological problems.
Purpose of the Study:
- To emphasize replicability as a central design principle for automated pipelines in engineering biology.
- To present design principles for an IT infrastructure supporting replicability.
- To explore future perspectives on automation in engineering biology.
Main Methods:
- Focus on replicability in the design of automated pipelines.
- Development of design principles for IT infrastructure.
- Analysis of error control in automation.
Main Results:
- Replicability should be central to automation design, not an added burden.
- Effective error control is fundamental for successful automation.
- Design principles for a replicability-supporting IT infrastructure are presented.
Conclusions:
- Automation in engineering biology must integrate replicability for effective error control.
- The future of automation will likely involve greater hardware-software integration.
- Users will gain enhanced control and abstraction over robotic infrastructure.
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