Evosep Webinar
Experimental Design Considerations for Scalable Proteomics
February 19, 2026 – 4:00 pm CET / 10:00 am EST
This webinar will explore best practices for experimental design in LC-MS–based proteomics, with a focus on building robust, reproducible, and scalable workflows. Topics will include key considerations for study design, sample throughput, and data quality, as well as practical strategies to maximize performance across diverse proteomics applications.
The session will combine real-world experience and technical insight to help researchers design experiments that deliver confident, actionable results.
Statistical aspects of experimental design in LC–MS–based proteomics
Talk by Olga Vitek, Raymond Bradford Bradstreet Professor and Director at the Barnett Institute
Design → QC → Scale: Best practices for robust, reproducible LC–MS proteomics workflows
Talk by Andrew Webb, Co-Founder & Chief Scientific Officer, Mass Dynamics
As LC–MS proteomics workflows become faster and more scalable, the bottleneck shifts from acquisition to experimental design, quality control, and consistent interpretation. In this talk we’ll share practical design patterns, throughput planning, and early‑warning metrics that catch drift and batch effects before they compromise a study. I’ll also highlight how high‑throughput LC (including Evosep workflows) pairs with standardised, automated reporting so teams can iterate quickly in pilots and then scale with confidence across diverse proteomics applications.
