Multi-factorial experimentation

Antha saves time, resources and effort by making multi-factorial media optimisation simple, efficient and robust

 
 

Optimising Liquid Handling for DOE with Antha

To robustly interrogate the inherent complexity of biology, we must move to ways of working that are built around the generation, structuring and analysis of large multifactorial datasets. Antha allows you to leverage all the benefits of multi-factorial DOE (Design of Experiments) optimisation without the burden of extensive planning, or manual liquid handling.

 
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Features

  • Opens up existing experimental workflows to the power of DOE through cross-platform automation
  • Integrate experimental design files from widely used DOE software such as JMP and Design Expert
  • Industrially validated in a DOE optimisation of growth media conditions
 
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