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.
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