Reliable flow cytometry data depends on robust sample handling and assay validation.

Flow cytometry plays a critical role in biomarker analysis, but generating high-quality data in regulated clinical trials requires careful attention to specimen handling, assay performance, and workflow optimization. This poster highlights practical strategies for addressing common analytical challenges to support reliable biomarker assessments throughout clinical development.

Key highlights include:

• Common challenges associated with flow cytometry in regulated clinical trials
• Strategies for optimizing sample handling and specimen processing
• Approaches for maintaining assay performance with limited cell counts and variable sample quality
• Considerations for improving data consistency and biomarker reliability
• Best practices for supporting efficient flow cytometry workflows in clinical research

As flow cytometry continues to play an expanding role in clinical development, optimized sample handling and validated workflows are essential for generating reliable biomarker data. Learn practical approaches for improving assay performance and supporting successful clinical trials.