Automation Masterclass
In this four-part series, explore the potential that automation holds in life sciences, the best use cases and the and the barriers that need to be overcome, to realise the vision of running more powerful, automated experiments.
About the Automation Masterclass series
While lab automation holds the potential to unlock accuracy and productivity, and free up time for scientists to focus on experimental design and hypothesis, the reality is that it can be quite challenging to implement.
In this masterclass, learn what are some of the best use cases for automation in biosciences, some physical practicalities of automating experiments, the key steps to success, and what are the main biological barriers to lab automation.

Best use cases of automation in the biosciences
In this Lab Automation Masterclass: Best use cases of automation in the biosciences, we explore the potential for automation in the biosciences, and the barriers that need to be overcome to achieve the vision of massively automated, powerful experiments becoming the norm.

Physical practicalities of automating experiments
In this Lab Automation Masterclass, Nathan Hardingham, Associate Scientist at Synthace dives into the physical practicalities of automating experiments. Explore essential strategies and cutting-edge hardware solutions for precise and reliable pipetting performance.

Unlocking automation: from setup to success
In this Lab Automation Masterclass, Ann Wang and Luke Cach discuss the common challenges of implementing automation and how to overcome them. They talk about how to move from intermittent to integral use of automation, how to challenge the "faster by hand" mentality, and how to conquer the learning curve. And finally, they explore what to do with all the data you'll generate once you've implemented automation successfully.

Biological barriers to lab automation
In this Lab Automation Masterclass, Steven Brown discusses the intricacies of handling diverse sample types and navigating live-cell studies with precision.

DOE masterclass
Design of Experiments (DOE) is an incredibly powerful framework. It’s key to understanding the ever-increasing complexity of biological experiments—and has the potential to transform biological research. But engaging with DOE as a biologist can seem highly complex, especially if you don’t have a statistical background.
Over the course of this masterclass series, we’ll equip you with the knowledge you need to apply this powerful experimental method to the biological systems you work with.
Learn why DOE is fundamental to biological research, see real-life examples of its use, and learn what tools do you need to begin using DOE in your own lab.
