Enhance Your Optimizations with Flexible, Automated Design of Experiments (DOE)

Design of Experiments (DOE) is a powerful statistical approach to exploring the design space and optimizing experiments. In biology, its usage is facilitated by technique familiarity and statistical experience, but also by the efficient use of automation and error-free data structuring for analysis.
In our recent demo, we showed how our software Synthace can be used to increase flexibility in automated DOEs, both when switching between different protocols and between different devices.
Translating a DOE design into automation instructions is challenging for most users. It involves time-consuming device programming and often includes manual calculations of stock solution concentrations necessary to carry out the experiment. This limits the complexity of DOE designs - for instance, applications such as Space Filling DOEs, which are a useful tool for the wide exploration and characterization of the design space, can include thousands of runs and are often impossible to execute physically. Furthermore, the inflexibility of automation often means that users cannot change parameters on the fly and adapt protocols for distinct experiments such as media, assay, or buffer optimizations.
Synthace enables scientists to flexibly change DOE parameters within its user-friendly interface, regardless of the experiment application. Experiments can be built from scratch or templatized, and all calculations of stock solution concentrations and volumes are automatically performed by Synthace. Using Synthace for optimization of transfection conditions, our client Oxford Biomedica reported 95-98% time savings in planning the execution of their DOE experiments.

Oxford Biomedica User Testimonial ↑

Automation programming is also inherently specific to the device used, making it difficult to run the same protocol on different automation hardware. Using a different device or even choosing a different plate can require intensive programming from the user in order to account for all constraints of the physical execution.
The Synthace interface is unique in its abstracted representation of experiments. The user defines and modifies parameters in a visual environment and selects a device or plate from their library. The adaptation of the protocol to the chosen automation device is performed by Synthace automatically during an in silico simulation that lasts approximately 30 seconds.

Typically, following the execution of DOE, data collection and structuring is performed manually, making it time-consuming and error-prone. In Synthace, data structuring, including its collation and alignment from different devices, is an inherent capability and is performed automatically on all devices that are part of a protocol. Even for the most complex DOEs, raw absorbance measurements from analytical devices are aligned with liquid handling sample data from the DOE experiment. Moreover, each Synthace experiment and sample has a unique identifier, allowing for perfect traceability of each run and easy knowledge exchange between teams and sites.

In summary, Synthace empowers biologists to take their DOEs to the next level by offering superior flexibility in protocol design and seamless execution on any supported device. The user is free to dedicate more time to the analysis of the automatically structured data and building new designs instead of manual reprogramming of automation. Find out more about DOE and how Synthace can help you revolutionize multifactorial experiments in your lab - watch the full demo below.

Watch the full demo