Rapid, End-to-End Automated Assay Characterization and Analysis with Space-Filling Design of Experiments (DOE)

Recorded on Wednesday, Apr 28, 2021

Technology Spotlight Webinar

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Watch our Technology Spotlight Webinar, recorded on April 28, 2021, to find out how you can easily automate complex DOE designs that would have previously been out of reach for physical execution:

  • We combined our Synthace platform and SPT Labtech's dragonfly® discovery dispenser to automate the execution of a space-filling DOE, a type of modern DOE design that would have been impossible to execute manually
  • We tested 12 factors in parallel using a space-filling DOE to characterize the design space of a spectrophotometric assay and developed models for yield and initial rate in just one 4-day long experiment that consisted of 3,456 runs
  • We developed an end-to-end automated framework for rapid assay characterization and optimization within a matter of days, thus creating a cost effective and repeatable protocol which can be widely adopted by assay development groups

Webinar speakers:


Anne Hammerstein
Product Manager
SPT Labtech

Anne has extensive R&D and commercial experience in automated liquid handling and high throughput analytical techniques, spanning both genomics and drug discovery applications. She is currently the Product Manager for the dragonfly® discovery dispenser and has played a key role in the launch of the new 3- and 6-head dragonfly® discovery models.

Anne graduated from the University of Oxford with a M.Chem. in Chemistry and D.Phil. in Chemical Biology. She completed her academic training with a post-doctoral career development fellowship in Protein Engineering at the MRC Laboratory of Molecular Biology in Cambridge, UK.

Photo of Shama Chilakwad - Synthace Sponsored Student

Shama Chilakwad
EngD Candidate
University College London

Shama is a fourth year EngD student receiving her doctorate from the Biochemical Engineering Department while collaborating full-time with Synthace Ltd, where she is hosted.

Shama’s project involves executing and analysing large automated high-dimensionality experiments that follow a DOE framework to rapidly characterize and optimize enzymatic assays using the Synthace software platform on a range of automated devices.

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