A Guide for Running Statistically-Powered Clone-Screening Experiments

The primary goal of clone screening in bioreactors is to identify clones with improvements in key performance indicators (KPIs) such as titer, rate and yield over the course of a bioprocess. Since all bioprocesses have an inherent level of variability, replicates of each clone should be run in every experiment. Limited bioreactor capacity is often a primary driver of how replicates are structured rather than the desired replicate count driving bioreactor usage. In this white paper, we describe how conducting a power analysis can determine the correct sample size for a statistically powered clone screening experiment.