When robotics met fluidics
Junjie Zhong, Jason Riordon, Tony Wu, Harrison Edwards, Aaron R. Wheeler, Keith Pardee, Alán Aspuru‐Guzik, David Sinton
- 发表年份
- 2019
- 引用次数
- 39
摘要
High-throughput fluidic technologies have increased the speed and accuracy of fluid processing to the extent that unlocking further gains will require replacing the human operator with a robotic counterpart. Recent advances in chemistry and biology, such as gene editing, have further exacerbated the need for smart, high-throughput experimentation. A growing number of innovations at the intersection of robotics and fluidics illustrate the tremendous opportunity in achieving fully self-driving fluid systems. We envision that the fields of synthetic chemistry and synthetic biology will be the first beneficiaries of AI-directed robotic and fluidic systems, and largely fall within two modalities: complex integrated centralized facilities that produce data, and distributed systems that synthesize products and conduct disease surveillance.
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