On Demand Webinar: Label-Free Quantification of Cell Growth and Morphology Using Artificial Intelligence and Advanced Data
Overview
Phase contrast images from live-cell imaging provide an opportunity to study multifaceted biological paradigms in drug discovery. The move towards these complex models demonstrates the importance of label-free analysis methods that are non-perturbing. Introduction of Artificial Intelligence (AI) and data science-based algorithms into user-friendly workflows has enabled powerful quantification of a wide range of cellular models.
During this live online event, Nicola Bevan, Manager of the Cell Imaging Applications Group at Sartorius, will demonstrate label-free cell segmentation using integrated AI-based software. Explore how the Incucyte® Advanced Label-Free Classification Software Module uses sophisticated multivariate analysis to monitor two user-defined populations based on multiple aspects of cell shape.
We also exemplify how AI confluence or advanced label-free classification can provide high-throughput, physiologically relevant insights into cell health, and can be applied to the investigation of compound efficacy in drug discovery.
- How an integrated AI-driven approach provides accurate measurements of proliferation across a range of cell types.
- Demonstration of a simplified workflow using advanced label-free classification for quantitative analysis of diverse changes in cell morphology.
- Guidance on how live-cell imaging and intuitive label-free analysis can be built into your development workflow.
- Validation of label-free analysis methods for robustly quantifying cell health in a non-perturbing manner.
Nicola Bevan, Manager of Cell Imaging Applications Group, Sartorius
Nicola Bevan is a Manager of a Cell Imaging Applications group, working within the European-based BioAnalytics research team. She is involved in the research and development of novel kinetic applications for the Incucyte® Live-Cell Analysis Systems and iQue® Advanced Flow Cytometry Platform, expanding their capabilities. She is a highly experienced cellular pharmacologist with more than 30 years of experience. She has worked within the pharmaceutical and biotechnology industries where she has gained broad experiences in a large pharmaceutical industrial screening department and has supported early drug discovery programs.
