Imagine cutting a six month experiment down to a few weeks, with a team of one, maybe two people.
Alex Rimmer, Stem Cell Scientist at HigherSteaks, shares how DOE dramatically reduced their experimental load and delivered more complete results.
To accomplish their ambitious mission, to reduce traditional meat consumption by having a 5% share of the global pork market by 2030, they were looking for a solution that would enable their scientists to explore vast design spaces without the need to write code.
Their core challenges included:
- Astronomical costs associated with commercial media
- Feasibility of the necessary factor screening
- Reproducibility of experimental processes for iterative development
While being a relatively small team, these challenges represented a fundamental obstacle HigherSteaks needed to overcome in pursuit of its goals.
HigherSteaks ultimately selected Synthace as their core experimental solution as it aligned with their vision of being able to explore large design spaces, create repeatable workflows, and automate the execution of their experiments.
HigherSteaks were able to optimize cell growth and differentiation by understanding the full range of factors at play with far fewer experimental runs. This saved time and money, and helped the team move with confidence towards better results. The team obtained a significantly increased cellular yield, and at the same time, greatly reduced their costs “by an order of magnitude.”
“Instead of months of pipetting, designing this experiment took us a bare minimum amount of time… a couple weeks/months rather than the timeframe of six months, maybe a year.”
----
More from Synthace
Visit our Website: www.synthace.com/
LinkedIn: / synthace
Twitter: / synthace
DOE Masterclass for Biologists: www.synthace.com/design-of-ex...
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.
#doe #designofexperiments #digitalexperiments #mediaoptimization
7 май 2023