Multi-factorial Experimentation

Down

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.

Lab scientist

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
Biological research equipment
3X

increase in protein yield

Molecule
74%

fewer liquid handling actions

Molecule2
70%

time saving per experiment

Molecule3

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