Highly effective teams choose to streamline their automation so that they can focus on their science
Using Antha, Oxford Biomedica have been able to design, plan, and execute a two-iteration DOE optimization and robustness study of their transfection and transduction processes in a dramatically reduced timeframe.
Increase in vector titre
Time saving
Reduction in pure error
Resource saving
We're starting to deal with very big datasets, and some vendor software can be cumbersome and slow. Antha alleviates this problem by integrating offline data in a very user-friendly, comprehensive, and dynamic way."
André Raposo
Group Lead, Computer-Aided Biology (CAB) Group at Oxford Biomedica