Optimizing Cell Culture

This video shows the use of Riffyn to assess and identify the sources of undesired variation in your experimental methods.

Uncovering Variation in Cell Culture

This experiment examines a simple 3-step cell growth process with optical density as a final measurement. It is designed to assess the impact of suspected causes of growth variation (temperature, shaking speed, treatment concentration), and to isolate unknown causes of error (i.e., find the step that contributes the most error).

It is structured with a full-factorial DoE on the first step, triplicate replication on the second step, and triplicate measurement on the third step. Riffyn integrates all experimental parameters and measured data into a data frame.

Using ANOVA, variance components analysis and multivariate regression in JMP® Statistical Discovery™ software from SAS®, the main contributors to experimental variation are identified.

Process and experiment design were created, and data were captured and prepared with Riffyn. Plots were created with JMP® Software. Copyright 2018, SAS Institute Inc., Cary, NC, USA. All Rights Reserved. Reproduced with permission of SAS Institute Inc., Cary, NC.

"Multivariate analysis can be easily executed using Riffyn - exported statistical data frames."