Evidence map›Paper›PMID 40501775›Full record

ArticlebioRxiv : the preprint server for biology2025

Non-destructive, high-resolution T cell characterization and subtyping via deep-ultraviolet microscopy.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Viswanath Gorti
Caroline E Serafini
Aaron D Silva Trenkle
Kaitlyn McCubbins
Isaac LeCompte
Gabriel A Kwong
Francisco E Robles

Funding

T32 CTEng (Cellular and Tissue Engineering) Training ProgramT32GM145735 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Edward A. Botchwey, Andres J Garcia · 2022 to 2026
$2.3M
Accessible label-free optical microscopy with quantitative molecular and functional contrastR35GM147437 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Francisco E Robles · 2022 to 2026
$1.9M
NIGMS NIH HHS R35 GM147437NIGMS NIH HHS T32 GM145735
6 · The paper itself

Abstract

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 typically are destructive endpoint measurements. Non-destructive, label-free imaging methods have been proposed, but face limitations with throughput, specificity, and system complexity. Here we demonstrate deep-ultraviolet (UV) microscopy as a label-free, non-destructive, fast and simple imaging approach for assessing T cell viability, activation state, and subtype with high accuracy. Using static deep-UV images, we characterize T cell viability and activation state, demonstrating excellent agreement with flow cytometry measurements. We further apply dynamic deep-UV imaging to quantify intracellular activity, enabling fast and accurate subtyping of CD4

Identifiers

PMID40501775
PMCPMC12154718

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.