DOE Masterclass: for Media Optimization

In this on demand DOE Masterclass, Alex Rimmer, stem cell scientist at HigherSteaks and Dr. Markus Gershater, CSO at Synthace discuss:
How DOE works for media optimization across a variety of factor screens;
How to view and explore the entire optimization landscape and ditch OFAT experiments;
How to simulate and execute complex, high-throughput experiments to reach your optimization goals in fewer runs;
How DOE helps you scale your planning and execution capacity, no matter the size of the team;
And more...
🤔 Why DOE (Design of Experiments) for Media Optimization? 🤔
Media Optimization is a painstaking process, where the slightest variable of liquid combinations can make all the difference to your intended results.
The slightest variable of liquid combinations can impact your results. Even with trial runs, it's hard to know if your protocols will give you the final well concentrations you’re looking for.
With so many variables, running media optimization manually seems like an impossible task, often taking months of tedious work.
Even if it's successful, you'll likely need to optimize your results for a different purpose later on, ensuring reproduction.
Design of Experiments (DOE) can help.
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🧪 Synthace DOE for Media Optimization: www.synthace.c...
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Synthace helps scientists get faster, smarter insights from their R&D experiments. The Synthace digital experiment platform lets you design powerful experiments, run them in your lab, then automatically build structured data. No code necessary.
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