首页> 外文期刊>Journal of Analytical Methods in Chemistry >Jumping into the 20th century before it istoo late: is laboratory robotics still in itsinfancy?
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Jumping into the 20th century before it istoo late: is laboratory robotics still in itsinfancy?

机译:跳入20世纪,为时已晚:实验室机器人是否还处于起步阶段?

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Successful management of laboratory robotic automation programmesin the environment of research and drug discovery withinthe pharmaceutical industry may perhaps be best compared to a chefpreparing the perfect hollandaise sauce. All the ingredients must beavailable at the same time and be of highest quality for the rightprice. However, if components are not added in the right quantitiesand in the proper order, no amount of whipping together by theproduct champion will create the best product. In the past,managerial scepticism surrounding useful implementation of cost-effective,high-throughput robotic systems often placed these‘modern toys’ at low priorities for research development laboratories.Management now recognizes the unique contributions ofrobotics in the research environment. Although the scientific directormust still play the role of product champion, new questions arebeing proposed and new commitments are being made to bring thepotential of robotic automation to every laboratory where repetitivefunctions can benefit from new applications. Research laboratorydirectors have become both the key ingredient, as well as the rate-limitingdeterminant in the development of new applications.Having fulfilled the promise of robotic automation to releasetalented personnel, the challenge now is for the ‘end users’, the benchscientists, to be provided with opportunities to invest the time andeffort required for future applications and new career functions.
机译:与厨师准备完美的荷兰酱相比,在制药业的研究和药物发现环境中成功管理实验室机器人自动化程序可能是最好的选择。所有成分必须同时可用,并且质量高,价格合理。但是,如果未按正确的数量和正确的顺序添加组件,则产品负责人鞭打在一起的次数不会创造出最好的产品。过去,管理层对有效实施具有成本效益的高通量机器人系统的怀疑通常将这些“现代玩具”放在研发实验室的低优先位置。管理层现在认识到机器人技术在研究环境中的独特贡献。尽管科学总监必须仍然扮演产品冠军的角色,但正在提出新的问题,并做出了新的承诺,以将机器人自动化的潜力带到每个实验室中,重复功能可以从新应用中受益的每个实验室。研究实验室主任已成为新应用程序开发中的关键要素和限速决定因素。在实现了机器人自动化对人才释放的承诺之后,现在的挑战是面向“最终用户”(即基准科学家)提供了机会来投资将来的应用程序和新的职业职能所需的时间和精力。

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