Evidence map›Paper›PMID 40677824›Full record

ArticleBiomedical optics express2025

Label-free surface sectioning deep ultraviolet tissue imaging in multimodalities.

Jiabin Chen, Ruilin You, Marco Contreras, Haijiang Cai, Paula Patricia Villarreal, Gracie Vargas, Zhihan Hong, Rongguang Liang

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiabin ChenWyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.
Ruilin YouWyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.ORCID https://orcid.org/0000-0002-3230-6691
Marco ContrerasDepartment of Neuroscience, University of Arizona, 1630E University Blvd, Tucson, Arizona 85721, USA.
Haijiang CaiDepartment of Neuroscience, University of Arizona, 1630E University Blvd, Tucson, Arizona 85721, USA.
Paula Patricia VillarrealThe Institute for Translational Sciences, University of Texas Medical Branch, Galveston, Texas 77555, USA.
Gracie VargasThe Institute for Translational Sciences, University of Texas Medical Branch, Galveston, Texas 77555, USA.
Zhihan HongWyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.
Rongguang LiangWyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.ORCID https://orcid.org/0000-0003-2792-3457

Funding

Multimodal Intraoral Imaging System for Oral Cancer Detection and Diagnosis in Low Resource SettingR01DE030682 · NIDCR · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2021 to 2025
$2.8M
Bimodal Intraoral imaging device for detection of oral epithelial neoplasiaR01CA247595 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI LI, XINGDE, LIANG, RONGGUANG · 2020 to 2024
$2.6M
Data-driven Diagnostics using Multimodal- AI Assisted Approaches for Early Cancer DetectionF99CA294164 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI VILLARREAL, PAULA · 2024 to 2025
$76k
NCI NIH HHS F99 CA294164NCI NIH HHS R01 CA247595NIDCR NIH HHS R01 DE030682
6 · The paper itself

Abstract

Histology is essential for accurate and effective diagnosis of many diseases and cancers. However, the slicing and staining processes are often expensive, complex, and sometimes invasive to biomedical samples. deep ultraviolet (DUV) microscopy has recently emerged as a promising label-free imaging technique due to the strong absorption of nucleic acids at DUV wavelengths. Here, we present a DUV confocal microscope for label- and slide-free, high-resolution tissue imaging. Compared to visible light, DUV illumination offers thinner optical sectioning and improved contrast due to its shallow penetration depth. We demonstrate that larger pinhole sizes can be used without loss of image quality, enhancing system efficiency. In addition to the DUV confocal microscopy, we explored transmission, epi-illumination, and oblique illumination modes for cost-effective DUV imaging platforms. To evaluate their performance, we conducted side-by-side comparisons using a range of samples, including paraffin-embedded and fresh mouse tissues, as well as health and cancerous human tongue specimens. Among these, oblique illumination demonstrates the best performance for imaging fresh tissues, minimizing background signals while revealing detailed cellular structures. Our findings provide a comprehensive analysis and strongly support the potential of DUV microscopy as a promising tool for rapid, stain-free, and slide-free histopathology. This approach could significantly streamline diagnostic workflows by reducing preparation time and costs.

Identifiers

PMID40677824
PMCPMC12265480

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.