Automation in the Life Science Research Laboratory
Автоматизация в исследовательской лаборатории наук о жизни
2020-11-13
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academic life science laboratorieslaboratory automationmodular robotic systemsprotocol variabilityresearch reproducibility
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Abstract (AI)
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.
Key Findings
1
Academic life science laboratories have an automation gap because of short-term funding, highly variable protocols, and prioritization of personnel over equipment.
2
Automation may also become obsolete and constrain researchers’ freedom to innovate, creating important trade-offs.
3
Effective use of automation will require scientists with combined engineering and biology expertise, making automation increasingly important to future research programs.
4
Future research-laboratory automation should be flexible, modular, affordable, environmentally conscious, and suitable for limited space and budgets.
5
Laboratory automation can improve reproducibility, researcher efficiency, clinical translation, and safety.
Research Object
automation in academic life science research laboratories
Research Subject
the benefits, limitations, adoption barriers, and design requirements of automation for replacing or augmenting manual laboratory tasks
Publication Details
Publication Date
2020-11-13
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