Are you planning or building a self-driving lab and wondering how to integrate analytical instruments into the loop? Instrument interfaces may be limited or proprietary, hardware has to work reliably with automation, and measurement and analysis workflows must produce decision-enabling information the speed your loop requires.
In this webinar, Simon Bates and Tom Concolino will explain how analytical measurements can support a self-driving lab and address practical challenges in integrating analytical instruments into these systems. Attendees will learn what to consider when connecting instruments to orchestration software, designing measurement and analysis workflows, integrating hardware and sample handling, and working with vendors to build a reliable closed-loop system.
Key Learning Objectives:
- Understand how analytical measurements can provide decision-enabling information to self-driving lab workflows
- Identify the key hardware, software, and workflow considerations when integrating analytical instruments
- Learn what information to prepare and what questions to ask when engaging instrument and automation vendors
Who Should Attend:
- Materials scientists
- Chemists
- Laboratory managers
- Automation engineers
- Data scientists
- R&D managers