Capturing Intent and Context in Your Lab Experiments

As a scientist trying to get the most out of your time in the lab, you’ll be familiar with the complexity involved in designing, executing and iterating on multiple experiments.

Whether you’re familiar with automation or not, the pitfalls are numerous.

From modeling processes, to accurately coding instructions for any automation, to sifting through and structuring the data your experiments produce. It’s a time-consuming, painful process that can ultimately result in failed experiments or - at best - frustrating slowdowns.

You’ll be relying on multiple pieces of hardware, software and even hand-written notes to keep track of every aspect of your experiments - not to mention any manual execution steps of a run.

As complexity grows, so does the likelihood of things slipping through the cracks.

At any stage of the process, you could be losing vital context, findings, and how everything fits together when you come to revisit your experimental flow across all your different tools.

In this webinar, we’ll examine the importance of capturing and interpreting experimental intent, scientific context, and data integrity in a successful campaign.

Join Markus Gerhsater, PhD on October 19th at 4:30pm BST/11:30am EDT, who will be going through the following:

• Why ELNs and LIMS might be a threat to your experiment's success

• The power of context in an experimental campaign

• Answering your questions live during the webinar

Got any questions before the webinar or about Synthace in general? Drop us an email at hello@synthace.com