5 Workfl ow simplifi cation
Scientifi c workfl ow systems have become a necessary tool for many applications, enabling the composition and execution of complex analysis on distributed resources. This is especially important as lab instruments and associated software can often be selected without fully understanding how and whether those instruments can be connected into an overall data and workfl ow ecosystem.
Step-by-step software guidance can therefore be very effective as it can help labs navigate complex workfl ows by providing clear instructions and automation for tasks, creating detailed model documentation, and streamlining data analysis. This guidance not only reduces the burden on scientists, it also improves reproducibility and supports communication and interoperability in scientifi c research.
SwissCAT+ on the EPFL Campus in Lausanne, Switzerland (SwissCAT+) is a new infrastructure project that offers a unique integrated technology platform for accelerating discoveries in sustainable catalytic technologies. It combines automated and high-throughput experimentation with advanced computational data analysis.
The company is collaborating with Agilent Technologies on a project to create a fully autonomous laboratory for the discovery, development, and optimisation of sustainable catalytic processes. The aim is to combine the OpenLab CDS system instrumentation and expertise with the SwissCAT+ platform to create a fully automated laboratory environment – one where robotic arms and cobots are seamlessly executing workfl ows.
A faster, more effi cient future
Lab processes are already being transformed by the integration of automation and AI, which are increasingly being used in a multitude of areas in labs such as handling repetitive tasks and high-throughput screening, data analysis, process optimisation, and the design of new analytical methods.
This is enhancing effi ciencies and increasing the accuracy of analytical processes, enabling new discoveries and advances across a variety of disciplines including drug discovery and food safety amongst many other domains.
The concept of the ‘lights out’ laboratory, where operations, including processes and data analysis, are largely or completely managed by automated systems with minimal or no human presence required, is becoming a reality. The power of AI and tech stacks, such as machine learning, cloud computing, and robotics, is revolutionising how labs operate, enhancing competitiveness and bottom-line performance.
Labs today are expected to deliver faster, more accurate results with fewer resources. With advanced automation, collaborative robotics, and AI-driven insights, labs can not only meet these rising expectations – but also exceed them.
About the author
John Beary is Associate Vice President of Product Marketing in Agilent’s Productivity Solutions Division. With over 20 years of experience in laboratory instrumentation and data management, he has worked across a wide range of life sciences and applied markets globally. John holds a degree in Industrial Chemistry from the University of Limerick and earned his Masters in Business Administration from Henley Management College, UK, in 2011. His academic background, combined with his practical experience, equips him with a unique blend of technical knowledge and business acumen.
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