Liquid Class Optimization: Boosting Efficiency and Reproducibility

In automated laboratory workflows, reliable liquid handling is essential for accurate and reproducible results.

While much attention is often given to the mechanics of pipetting, the key to consistent performance lies in understanding and optimizing the parameters that define liquid classes. Even small variations in liquid properties or pipetting settings can lead to errors, reduced throughput and inconsistent outcomes.

This webinar will provide practical guidance on optimizing liquid class parameters, establishing standardized automation practices across sites and globally and verifying liquid transfer volumes.

Participants will learn how to account for key liquid properties, monitor and troubleshoot transfers and implement best practices to ensure reproducibility. The session will also cover methods for assessing and validating liquid handling performance.

Whether new to lab automation or looking to refine workflows, attendees will gain actionable insights for improving workflow consistency, minimizing errors and achieving reliable results in automated laboratories.

Register for this webinar to learn how liquid class optimization can streamline workflows, reduce variability and enhance reproducibility in automated lab processes.

Keywords: Automated Liquid Handling, Basic Research, Laboratory Automation, Laboratory Technology, Liquid Handlers, Liquid Handling, Process Development, Quality, Quality Assurance, Reproducibility