Experimental Design Considerations for Scalable Proteomics

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

• Olga Vitek, Raymond Bradford Bradstreet Professor and Director at the Barnett Institute

Talk to be announced

• Andrew Webb, Co-Founder & Chief Scientific Officer, Mass Dynamics