ArticleBiomedical optics express2025
Label-free visualization and quantitative analysis of Far UV-C skin safety with dynamic optical coherence tomography with subcellular resolution.
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 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Imaging of Tissue and Cell Dynamics: introduction to the feature issue.Biomedical optics express · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent COVID-19 pandemic sparked interest in interventional public health measures like ultraviolet germicidal irradiation (UVGI) of occupied spaces with the development of Far UV-C (200-230 nm) emitting sources promising similar antimicrobial properties as conventional (254 nm) disinfecting lamps without adverse effects on human skin. When investigating the impact of different UV irradiation parameters, the visualization of cellular damage, like apoptosis and formation of photoproducts, currently requires immunohistochemical tissue processing and is of an invasive nature. Dynamic-microscopic optical coherence tomography (dmOCT) is a non-invasive technique that generates label-free images based on the dynamic scattering properties of cells. In this study, we expose an in-vitro human skin model to either UV-A/B or Far UV-C to demonstrate the ability of dmOCT to visualize cell death, followed by UV-induced photodamage, and perform immunohistochemical analysis. Our results clearly show a change in dynamic contrast within the viable epidermis and changes in the morphology of keratinocyte nuclei after UV-A/B exposure with 250 mJ/cm
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Registered trials
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.