Acquisition of High-Quality Spectral Flow Cytometry Data

Area of Science:

• Immunology
• Cell Biology
• Biotechnology

Background:

• Flow cytometry is crucial for analyzing cell properties like antigens and cytokines.
• Increasing panel complexity (up to 50 parameters) necessitates standardized protocols for reliable data.
• Suboptimal data quality can lead to misclassification of cell populations by analysis algorithms.

Purpose of the Study:

• To present a comprehensive methodology for preparing samples for polychromatic flow cytometry.
• To establish a protocol that yields high-quality data with good cell population separation.
• To enable accurate analysis of flow cytometry data using computational algorithms.

Main Methods:

• Detailed protocol for preparing single-cell suspensions.
• Methods for lung tissue preparation and cell counting on a flow cytometer.
• Procedures for surface and intracellular staining, including single-color bead controls.

Main Results:

• The described methodology ensures high-quality data suitable for computational analysis.
• Multiple washing steps and rigorous controls enhance separation between cell populations.
• The protocol supports end-to-end analysis of experimental data.

Conclusions:

• Standardized sample preparation is essential for reliable polychromatic flow cytometry.
• This protocol provides a robust framework for generating high-quality flow cytometry data.
• The methodology facilitates accurate cell population identification and analysis.