With great power comes great responsibility: high-dimensional spectral flow cytometry to support clinical trials

Flow cytometry is a powerful technology used in research, drug development and clinical sample analysis for cell identification and characterization, allowing for the simultaneous interrogation of multiple targets on various cell subsets from limited samples. Recent advancements in instrumentation and fluorochrome availability have resulted in significant increases in the complexity and dimensionality of flow cytometry panels. Though this increase in panel size allows for detection of a broader range of markers and sub-populations, even in restricted biological samples, it also comes with many challenges in panel design, optimization, and downstream data analysis and interpretation. In the current paper we describe the practices we established for development of high-dimensional panels on the Aurora spectral flow cytometer to aid clinical sample analysis.

Automated summary

Flow cytometry is a powerful technology used for cell identification and characterization in research, drug development, and clinical sample analysis. Recent advancements in instrumentation and fluorochrome availability have led to increases in complexity and dimensionality of flow cytometry panels, presenting challenges in panel design, optimization, and downstream data analysis and interpretation. In this paper, practices for developing high-dimensional panels on the Aurora spectral flow cytometer to aid clinical sample analysis are described.