Complex DoE optimisations : Fast & Flexible

DoE is a powerful statistical experimental design technique. However, sophisticated ‘high factor’ DoEs are prohibitively time-consuming to conduct due to challenging experimental planning and set-up.

Using a multifactorial DoE approach to optimise your processes will boost efficiency. Our cloud-based platform Antha makes DoEs simple and easy. Perform sophisticated and complex optimisations, measure several-fold more factors than could be done manually, in a fraction of the time it would take to program a liquid handling robot. Learn more about Antha and our DoE solution by booking a demo.

 

Simple interface makes sophisticated DoE’s easy

Antha’s    DoE elements provide features that allow you to rapidly prototype and optimise DoE execution in silico whilst minimising the estimated execution time, number of liquid handling transfers and therefore labware used during the run.

Antha’s DoE elements provide features that allow you to rapidly prototype and optimise DoE execution in silico whilst minimising the estimated execution time, number of liquid handling transfers and therefore labware used during the run.

Our cloud-based software platform ‘Antha’ eliminates experimental burden, enabling the flexible and frequent running of increased complexity DoE’s.

Simply uploaded your Design File (e.g. from JMP or DE) and our software will work out all the necessary liquid handling steps/plate maps.

Test your run ‘in silico’ before downloading the file to your lab hardware for it to carry out the experiment whilst you walk away, free to do more great science.

Learn more about how Antha can enable you to perform sophisticated DoE optimisations of your processes by booking a demo

 

Save time and consumables whilst increasing complexity

DoE is a framework to systematically analyse multiple factors and optimise experimental design to a desired outcome.

Antha enables users to easily perform high factor DoE’s. Measure more factors in less time to better understand your design space and optimise your processes.

In a recent case study with Oxford Biomedica, Antha enabled the design, planning and execution of a reduced time frame two iteration DoE optimisation and robustness study of their lentiviral transfection and transduction process. Resulting in:

  • Over 40 hours of time saving

  • 32% saving in consumable use 

  • Triple the number of experimental runs per iteration

To find out how using Antha could benefit your organisation get in touch now to book a demo

Response surface of a multifactorial DoE.

Response surface of a multifactorial DoE.

 

No programming knowledge necessary

Device agnostic control of liquid handling robots

Device agnostic control of liquid handling robots

One of the burdens of performing DoE’s with liquid handling robots can be the time investment needed to program the robots.

Antha makes it easy to translate DoE files into instructions for liquid handling robots. Saving the time needed to program these robots, and also reducing the total number of liquid handling steps needed.

Antha is also device agnostic meaning the same DoE can be run on different robots.

To find out more, book a demo

 

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