---
title: A Guide for Running Statistically-Powered Clone-Screening Experiments
description: Since all bioprocesses have an inherent level of variability, replicates of each clone should be run in every experiment.
image: https://www.culturebiosciences.com/hubfs/Imported_Blog_Media/659b514b5f7a4947e7012e1c_Image-2-1.png
---

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White Paper

December 3, 2024

# A Guide for Running Statistically-Powered Clone-Screening Experiments

![A Guide for Running Statistically-Powered Clone-Screening Experiments](https://www.culturebiosciences.com/hs-fs/hubfs/Imported_Blog_Media/659b514b5f7a4947e7012e1c_Image-2-1.png?width=860&height=745&name=659b514b5f7a4947e7012e1c_Image-2-1.png)

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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