Reduce Pipetting Variability in Your Lab

Because pipetting feels routine, it’s not often considered a major source of variation.

Yet, instrument performance, tip fit, technique, maintenance schedules, and protocol design can all affect your results.

In this guide, you’ll learn how to:

• Choose pipettes based on your workflow and error specifications
• Select tips that seal properly, minimize retention, and prevent batch effects
• Standardize pipetting technique to minimize user-to-user differences
• Implement routine performance verification and smarter calibration intervals

Download to improve consistency in your liquid-handling workflows, build confidence in your data, and make your experiments easier to reproduce.