Systematic misestimation of cell subpopulations by flow cytometry: a mathematical analysis

Area of Science:

• Andrology
• Biotechnology
• Cell Biology

Background:

• Flow cytometry is widely used for cell concentration and viability assessment in andrologic applications.
• Previous studies have focused on variability between samples, operators, and general accuracy.
• Specific sources of false-count estimation, particularly non-sperm particle contamination, remain undercharacterized.

Purpose of the Study:

• To mathematically characterize the impact of non-sperm particle contamination on flow cytometric cell counts and viability.
• To quantify the systematic overestimation of unstained (viable) cells due to this contamination.
• To provide corrected equations for accurate flow cytometric analysis in andrology.

Main Methods:

• Original mathematical research was conducted to model the effects of particle contamination.
• Analysis focused on how non-sperm particles affect cell counts and fluorescence patterns.
• Light-scatter characteristics were assessed as a means of particle identification.

Main Results:

• Non-sperm particles significantly affect both cell counts and fluorescence-based cell percentages.
• A systematic overestimation of unstained (viable) cells was demonstrated when particles were not excluded.
• Exact mathematical estimates for the magnitude of overestimation were derived.

Conclusions:

• Non-sperm particle contamination is a critical factor leading to misestimation in flow cytometry.
• Accurate diagnostic applications and studies on sperm physiology require correction for this contamination.
• Derived equations enable practical correction of flow cytometric values for improved accuracy.