However, you don’t have to be an expert in flow cytometry to achieve reproducible and reliable results. Learn everything you need to improve your flow cytometry experiments and gain confidence in your results in less than one hour.

The field of synthetic biology revolves around the design-build-test-learn (DBTL) cycle, where biological components are adjusted in multiple iterations.

In this webinar, Dr. Roberts will highlight how his work aims to identify disease-specific lipid isomers that can be used for the early detection and diagnosis of PD, using ion mobility mass spectrometry.

During this webinar, you will discover ways to improve your protein extraction, such as by reducing workflow complexity, improving results from scarce samples, setting up robust assays and working with large sample cohorts.

Design–build–test–learn (DBTL) cycles are commonly used in biotechnology and in natural product discovery as they provide a systemic and efficient framework for the metabolic engineering of microbes.

A novel platform that automates multiomics analyses of microbes could enable faster and better DBLT cycles for your research. In this webinar, the development and validation of the high-throughput, automated platform using model microbial organisms is described, as well as the recent work in applying the platform to cell factory and natural products engineering.

Most organizations now recognize digitalization as a necessity for the lab of the future, yet many find it difficult to justify the expense, get stakeholder buy-in, or move the process forward. The delay carries significant risks – anything from untraceable data, lost protocols, to non-compliance of regulatory requirements on data integrity. It also takes away the opportunities to automate, scale up, and integrate lab processes efficiently.