Quantifying LNP Morphology

Join our Founder and cryo-EM Scientist Dr. Karl Bertram on April 26th to see how we leverage AI to - for the first time - robustly Quantify LNP Morphology from nano-imaging data. Register now!

Discover how AI-driven methods revolutionize LNP analysis for practical applications in the pharmaceutical industry.

Analyze our newest empirical case study data with us to experience how LNP size, shape, and morphology change when the sample material is stressed under various conditions – and how you can leverage these insights to rationalize formulation development decisions and critically strengthen your quality control or batch-to-batch comparability assays.

Don’t miss out on our upcoming webinar and sign up today. We are looking forward to meeting you there.

Here's what you can expect:

AI-Powered image analysis is the key to quantitative data: Introduction on how AI-enabled technology combines with nano-imaging data to unlock unprecedented opportunities in LNP characterization.
Demonstration of accuracy & reproducibility: Showcasing statistical precision and accuracy of the ATEM method with empirical case study data.
How to precisely measure the effects of stress on LNP formulations: Discussion of how different stresses like heat, phsyical shock or freeze-thaw cycles affect critical LNP quality parameters like particle size, shape and morphology on the basis of high-precision empirical case study data.

Who

Whether you work in Analytical Development, Formulation, Process Development or Manufacturing, learn how the most recent advancements in nanoparticle analytic technology enables scientists and quality control experts to routinely quantify critical quality parameters for LNP formulations with AI-enabled cryo-EM nano-imaging data.

When

Friday, April 26, 2024
4-5 pm (CEST)

Where

1-Hour on Microsoft Team. Register now!

Quantifying LNP Morphology