# Nondestructive, High-Resolution T Cell Characterization and Subtyping via Deep-UV Microscopy

**Authors:** Viswanath Gorti, Caroline E. Serafini, Aaron D. Silva Trenkle, Kaitlyn McCubbins, Isaac LeCompte, Gabriel A. Kwong, Francisco E. Robles

PMC · DOI: 10.34133/bmef.0227 · BME Frontiers · 2026-02-18

## TL;DR

This paper introduces deep-UV microscopy as a nondestructive, label-free method to accurately assess T cell viability, activation, and subtype with high precision.

## Contribution

The novel use of deep-UV microscopy for T cell subtyping and characterization without fluorescent labeling is introduced.

## Key findings

- Static deep-UV images accurately predict T cell viability and activation state with R2 > 0.97 correlation to flow cytometry.
- Dynamic deep-UV time series enable accurate subtyping of CD4+ and CD8+ T cells with ~90% sensitivity and specificity.

## Abstract

Objective and Impact Statement: We establish deep-ultraviolet (UV) microscopy as a fast, label-free, and simple imaging approach for assessing T cell viability, activation state, and subtype with high accuracy. Introduction: T cell characterization is critical for understanding immune function, monitoring disease progression, and optimizing cell-based therapies. Current technologies to characterize T cells, such as flow cytometry, require fluorescent labeling and are typically destructive endpoint measurements. Nondestructive, label-free imaging methods have been proposed but face limitations with throughput, specificity, and system complexity. Methods: In this work, we use static deep-UV images to characterize T cell viability and activation state and dynamic deep-UV time series to quantify intracellular activity for assessment of T cell subtype (CD4+ and CD8+). Results: T cell viability and activation state predicted from static deep-UV images showed strong agreement with flow cytometry, with a correlation of R2 > 0.97. Dynamic deep-UV images revealed unique intracellular activity that enabled accurate subtyping of CD4+ and CD8+ T cells, with a sensitivity and specificity of ~90%, corroborating recent studies on metabolic activity differences between these subtypes. Conclusion: Together, deep-UV microscopy offers a powerful tool for high-throughput immune cell characterization, with broad applications in immunology research, immune monitoring, and development of emerging cell-based therapies.

## Full-text entities

- **Genes:** CD44 (CD44 molecule (IN blood group)) [NCBI Gene 960] {aka CDW44, CSPG8, ECM-III, ECMR-III, H-CAM, HCELL}, CD69 (CD69 molecule) [NCBI Gene 969] {aka AIM, BL-AC/P26, CLEC2C, EA1, GP32/28, MLR-3}, CD28 (CD28 molecule) [NCBI Gene 940] {aka IMD123, Tp44}, IL2RA (interleukin 2 receptor subunit alpha) [NCBI Gene 403870] {aka CD25, IL-2RA}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD69 (CD69 molecule) [NCBI Gene 477698], IL2RA (interleukin 2 receptor subunit alpha) [NCBI Gene 3559] {aka CD25, IDDM10, IL2R, IMD41, TCGFR, p55}
- **Diseases:** neutropenia (MESH:D009503), infections (MESH:D007239), cancer (MESH:D009369), immune disorders (MESH:D007154), T (MESH:D001260), breast cancer (MESH:D001943), autoimmune disorders (MESH:D001327), phototoxicity (MESH:D017484), infectious diseases (MESH:D003141), UMAP (MESH:C567162)
- **Chemicals:** oxygen (MESH:D010100), fluorescein isothiocyanate (-), 2-mercaptoethanol (MESH:D008623), N-acetyl l-cysteine (MESH:D000111)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12914059/full.md

## References

54 references — full list in the complete paper: https://tomesphere.com/paper/PMC12914059/full.md

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Source: https://tomesphere.com/paper/PMC12914059