Tackling Challenges in Throughput Using Automation & Miniaturization Without Compromising Data Quality to Obtain Actionable Insights for Drug Discovery & Development
Time: 9:32 am
day: Pre-Conference Workshop Day
Details:
Efficient sample preparation is essential for high-quality proteomics data but presents several challenges, particularly in terms of time to prep and introducing error affecting data consistency. This workshop will delve into solutions for overcoming these challenges, focusing on how automation and miniaturization can enhance workflow efficiency and data quality. We’ll explore the latest advancements in robotic systems, discuss the impact of sample miniaturization on data integrity, and address common bottlenecks in sample processing.
Key Takeaways:
- Addressing the challenges of protein loss in sample preparation, including the variability introduced by protein digestion, fractionation, and chromatography on data quality and processing efficiency
- Exploring the benefits of robotic systems for automating sample preparation, aiming to reduce variability and improve consistency across large sample volumes
- Integrating miniaturization to increase the speed of sample prep workflows and handling small sample volumes effectively while maintaining data accuracy
