Alan Parkin, Titian Software, London, UK
Acoustic liquid handling delivers significant benefits, including the ability to execute complex sample layouts including pools and combinations. Accordingly, the machines have the potential to deliver a very rich set of data. This introduces data management challenges and complexity that is no longer easily managed with files, making it hard to accurately track sample information and realise the wider potential of the data.
In this session, Titian Software explores the integration with acoustic liquid handlers, providing examples of how to capture and manage that operational data to save time and effort and maximise the efficiency advances. Data can be leveraged in the cloud and, as well as providing full sample history, can be delivered as a foundation for analytical tools. We look ahead to how AI and ML can be leveraged to provide predictive data to for operational insights such as prediction of run time and proactive monitoring of machine performance.
