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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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Abstract

Abstract

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.
Keywords:
FREE PROTEIN-SYNTHESIS
CELL
OPTIMIZATION
SYSTEM
PRESSURE
PLATFORM
DESIGN
CHIP
FLOW
EXPERIMENTATION
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

L
Lab on a Chip
IF:
5.4
Papers:
9.0K
Citations:
3.3W

Organization

U
university of toronto
Scholars:
14.7W
Papers: 12.0W
Citations: 165