On-Demand Webinar: Deriving Context from Immunological Data with Advanced Flow Cytometry

The ability to gain detailed information into the function, modulation, and variation of the immune system in response to immunological challenge or stimuli, supports advances in treatments for human diseases, including cancer.

Insights derived from these data have, for example, revolutionized cancer treatment by enabling the development of adoptive cell transfer therapies, such as Chimeric Antigen Receptor T cells (CAR-T), which harness an individual’s own immune system to attack cancerous cells. 

More efficient and powerful tools are critical in furthering the development of these highly target-specific therapies.  In addition, analysis tools for swiftly interpreting and visualizing complex data sets are paramount.

As an example, flow cytometry is a widely utilized method to probe immunophenotype and function of T cell subsets but reproducibly performing flow cytometry can be challenging, due to variation from different cell sources or time points. 

A potential solution is the use of advanced flow cytometry.  This combines high-throughput sample acquisition with robust analysis software, to gain greater insight into the dynamics of the immune cell function, such as the ability to induce the formation of memory T cell subsets or activate effector T cell populations.

Register to Watch On Demand

Nina Senutovitch Ph.D.

Senior Scientist, Product Development, Cell Analytics
Sartorius

Dr. Senutovitch received her B.Sc. in biochemistry from New Mexico State University. She completed her Ph.D. in biological sciences at Carnegie Mellon University, where she developed and detailed the function of novel fluorescent probes.

As a postdoctoral fellow at the University of Pittsburgh, she established biosensor-based live-cell screening assays for the detection of hepatotoxicity, including the use of a human liver “organ-on-a-chip” model. She joined Sartorius in 2019 as a senior scientist in Cell Analytics.