Automated high content imaging and analysis for biomedical research applications
6 dic 2021
12:00 EST / 17:00 GMT / 18:00 CET
Dr. Eric Griffis
Director, Nikon Imaging Center at UC San Diego
Dr. Amit R. Majithia
Assistant Professor of Endocrinology, UC San Diego School of Medicine
High content imaging and analysis is a useful tool for applications in biomedical research, such as drug discovery. This webcast will highlight advances in high content imaging capabilities and how they can be integrated into new research studies.
Dr. Eric Griffis, Director of The Nikon Imaging Center at University of California San Diego will provide a technical overview of this technology, including key considerations for its use.
Next, Dr. Amit Majithia of UC San Diego School of Medicine will discuss the utility of high content imaging for studying Non-alcoholic fatty liver disease (NAFLD), the most common chronic liver disease, which affects a quarter of the global adult population. NAFLD can progress to non-alcoholic steatohepatitis (NASH) which is one of the leading causes of liver failure. There are no FDA approved medications to treat NAFLD. Recent large-scale human genetic association studies have identified genes that alter susceptibility to NAFLD in people, but how these genes work in the liver and which ones could be beneficial to target remains unknown. To address these challenges, the Majithia lab has established a platform for genetic perturbation and high content imaging of cellular readouts in human liver cell models scalable to studying hundreds of genes simultaneously.
- Capabilities of a modern high content imaging and analysis system
- Research and development applications now enabled by advances in high content imaging
- How high content imaging can help pioneer new treatments for currently intractable conditions