We and our partners use cookies and other tracking technologies to collect data relating to you to perform analytics, improve your experience of using our website, provide you with personalized ads and content based on your interactions with these and other websites and allow you to share content on social media. By clicking “Accept All Cookies”, you consent to this and to the sharing of this data with our partners. You can change your consent preferences at any time in the “Cookie Settings” section at the bottom of our website. Review our Cookie Notice to learn more about our practices.
Streamlined clinical trials: applying rigor in flow cytometry to facilitate therapeutic developments
By Dr. Alina Lelic,
Former Field Marketing Manager for Flow Cytometry at Beckman Coulter Life Sciences
Flow cytometry provides an important bioanalysis method that is utilized in the development and evaluation of immunologic therapies. Characterization of the immune response by flow cytometry provides knowledge of cellular phenotype and function, supporting the development of therapies that beneficially modulate the immune response.
A current challenge in flow cytometry is the ability to generate rigorous and consistent data. This is often related to workflow inconsistencies and is specifically associated with reagent integrity, sample preparation, data acquisition and data analyses.
Collectively, the workflow inconsistencies can result in the generation of erroneous biologically relevant data, having direct implications on therapeutic development. As such, it is critical to ensure that the scientific community implements rigor and reproducibility into their flow cytometry workflows to enable scientific excellence, data quality and compliance with regulatory guidelines.
The purpose of this seminar is to provide information and practical solutions on streamlining the workflow to empower the generation of standardized and reproducible flow data specifically in the field of clinical research; starting from sample preparation to data analysis.
Learning objectives:
- Demonstrate the requirements for compliant workflows
- Standardizing experimental workflows within clinical trials
- Discuss how to implement rigor in clinical trials