Webinar: Face-to-Face with Cancer: The Power of High-Content Imaging and Analytics to Illuminate Cell Population Dynamics

Image courtesy of Colleen Garvey and the Ellison Institute of USC

To advance our biological understanding of cancer and improve treatment efficacy, we are utilizing quantitative high-content imaging to illuminate the dynamic interactions between cancer cells and their microenvironment within physiologically-relevant model systems.

In this webinar, we highlight the potential of high-content screening (HCS) to measure cell behavior within complex heterocellular environments. When employed with image analysis techniques, such as machine learning, high-content imaging enables us to rapidly and accurately classify cell types within co-culture systems. This combination of technologies also empowers us to determine environment-mediated drug responses in both 2D monolayer and 3D patient-derived organoid systems.

Shannon Mumenthaler
Assistant Professor of Medicine
Lawrence J. Ellison Institute for Transformative Medicine
University of Southern California
Joe Trask
Senior Field Applications Scientist
In this webinar, you will learn:
  • How HCS readouts differ from the limited metrics provided through standard biological assays
  • How to get quantitative and dynamic information from your cellular samples
  • The power of single-cell multi-parametric data generation for complex biologies
  • How cells in 2D & 3D are affected by the tumor microenvironment

Webinar On-Demand