Simple methods to determine and compare the sensitivity of flow cytometers

Area of Science:

• Biotechnology
• Analytical Chemistry
• Optical Engineering

Background:

• Flow cytometry is a powerful technique for analyzing single cells and particles.
• Instrument sensitivity directly impacts the quality and reliability of flow cytometry data.
• Distinguishing between instrumental limitations and sample variability is essential for accurate interpretation.

Purpose of the Study:

• To develop a method for quantifying flow cytometer sensitivity.
• To assess the impact of signal intensity and background noise on measurement resolution.
• To enable relative calibration and sensitivity ranking of different flow cytometer instruments.

Main Methods:

• Utilized a mathematical model relating coefficient of variation (CV) to sample variability, illumination variations, signal intensity, and background noise.
• Measured the CV of light flashes from a light-emitting diode (LED) across varying intensities.
• Developed standard curves from LED measurements to assess instrumental limitations.

Main Results:

• Standard curves derived from LED measurements allow direct determination of resolution limitations due to signal intensity and background noise.
• The method enables relative calibration of curves for different instruments, facilitating sensitivity comparisons.
• Instrumental factors affecting flow cytometry resolution were quantified.

Conclusions:

• The proposed method provides a reliable way to assess and compare flow cytometer sensitivity.
• Understanding instrumental factors is key to optimizing flow cytometry experiments and data interpretation.
• This approach aids in selecting appropriate instruments and troubleshooting resolution issues in real samples.