Automation in the Life Science Research Laboratory

被引:93
|
作者
Holland, Ian [1 ]
Davies, Jamie A. [1 ]
机构
[1] Univ Edinburgh, Deanery Biomed Sci & Synth Ctr Synthet & Syst Bio, Edinburgh, Midlothian, Scotland
基金
英国生物技术与生命科学研究理事会;
关键词
laboratory automation; life science research; automation design; research efficiency; reproducibility; innovation inhibition; environmental design; RESEARCH-AND-DEVELOPMENT; CELL-CULTURE; SYSTEM; REPRODUCIBILITY; LAB; DIFFERENTIATION; PURIFICATION; CHEMISTRY; WORKFLOW; FATIGUE;
D O I
10.3389/fbioe.2020.571777
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Protocols in the academic life science laboratory are heavily reliant on the manual manipulation of tools, reagents and instruments by a host of research staff and students. In contrast to industrial and clinical laboratory environments, the usage of automation to augment or replace manual tasks is limited. Causes of this 'automation gap' are unique to academic research, with rigid short-term funding structures, high levels of protocol variability and a benevolent culture of investment in people over equipment. Automation, however, can bestow multiple benefits through improvements in reproducibility, researcher efficiency, clinical translation, and safety. Less immediately obvious are the accompanying limitations, including obsolescence and an inhibitory effect on the freedom to innovate. Growing the range of automation options suitable for research laboratories will require more flexible, modular and cheaper designs. Academic and commercial developers of automation will increasingly need to design with an environmental awareness and an understanding that large high-tech robotic solutions may not be appropriate for laboratories with constrained financial and spatial resources. To fully exploit the potential of laboratory automation, future generations of scientists will require both engineering and biology skills. Automation in the research laboratory is likely to be an increasingly critical component of future research programs and will continue the trend of combining engineering and science expertise together to answer novel research questions.
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页数:18
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