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When robotics met fluidics

delete2020-01-01
delete34
PRE
AI
J
Junjie Zhong
J
Jason Riordon
T
Tony Wu
H
Harrison Edwards
A
Aaron R. Wheeler
K
Keith Pardee
A
Alán Aspuru‐Guzik
D
David Sinton *
DOI:10.1039/c9lc01042ddelete
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摘要

摘要

En 中文
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.
Keyword:
FREE PROTEIN-SYNTHESIS
CELL
OPTIMIZATION
SYSTEM
PRESSURE
PLATFORM
DESIGN
CHIP
FLOW
EXPERIMENTATION
AI总结

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期刊

L
Lab on a Chip
IF:
5.4
论文数:
9.0K
被引数:
3.3W

机构

U
university of toronto
学者数:
14.8W
论文数: 12.0W
被引数: 165
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