Profiling the human immune system is essential to understanding its role in disease, but it requires advanced and novel technologies. Spectral flow cytometry enables deep profiling at the single cell level. It can detect more than 40 fluorescent parameters within one measurement, making it vastly useful when patient material is limited.

Join us in this webinar to learn how an ID7000 Spectral Cell Analyzer was used in a study by researchers at Radboud University to optimize a 42-parameter panel. This panel enabled identification of innate and adaptive immune cell composition and distinguished activation, exhaustion, homing and maturation states in human peripheral blood samples. The panel was also tested on peripheral blood and dissociated biopsies from several autoimmune diseases such as psoriasis, atopic dermatitis and ulcerative colitis.

You will learn about the tools in the ID7000 system software that help facilitate the design of high-parameter panels such as the Autofluorescence Finder and Spectral Reference Viewer. Also covered is the unsupervised analysis pipeline that was set up to identify more than 75 distinct immune cell clusters.

Key Learning Objectives:

  • Understand the features of the ID7000 Spectral Cell Analyzer that help with high-parameter panel design
  • Learn about the different immune cell subsets identified by the 42-parameter panel
  • Understand the immune phenotype differences between healthy control and auto-immune disease samples

 

Who should attend

Researchers who are interested in immune cell profiling on a spectral flow cytometer with panels of 40+ colors will find this webinar insightful. Attendees will be able to see the process of developing such panels and can apply them across different areas of research.

 

Speaker

Portrait of Laurien WaaijerLaurien Waaijer, PhD Student
Laboratory of Medical Immunology
Radboud University Medical Center

Laurien is a PhD student at the laboratory of medical immunology at Radboudumc, Nijmegen, the Netherlands. She is studying biomarker profiles in auto-immune diseases, such as inflammatory bowel disease, psoriasis and atopic dermatitis. Laurien aims to contribute to the development of tools that can predict how patients will respond to therapy before the initiation of treatment. This personalized medicine approach could lead to more effective and targeted treatments for individuals with autoimmune diseases.