The Effect of Cryopreservation on T-Cell Subsets by Flow Cytometry Automated Algorithmic Analysis and Conventional...

Area of Science:

• Immunology
• Biotechnology
• Data Science

Background:

• Cryopreservation is vital for flow cytometry sample preservation.
• Manual gating in flow cytometry is subjective, time-consuming, and prone to bias.
• Algorithmic analysis offers advantages in dimensionality reduction and clustering for complex data.

Purpose of the Study:

• To evaluate the impact of cryopreservation and freeze-thaw cycles on T-cell subsets.
• To compare automated algorithmic analysis with manual gating for flow cytometry data.
• To assess the objectivity and repeatability of different analysis methods.

Main Methods:

• Flow cytometry was employed to analyze T-cell subsets.
• Cryopreserved samples were subjected to freeze-thaw cycles.
• Data were analyzed using both automated algorithms and traditional manual gating.

Main Results:

• Minor decreases in cell number and viability were observed after one freeze-thaw within two weeks.
• Subpopulation proportions and spatial locations remained largely unchanged after short-term cryopreservation.
• Significant changes occurred with increased cryopreservation time and freeze-thaw cycles, potentially due to molecular alterations.

Conclusions:

• Automated algorithmic analysis provides superior repeatability and objectivity compared to manual gating.
• Both methods reached similar conclusions regarding cell population changes.
• Automated analysis offers a more intuitive visualization of spatial variations between cell populations.