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Imaging of human airways by endoscope-compatible dynamic microscopic optical coherence tomography

Cornelia Holzhausen, Hinnerk Schulz-Hildebrandt, Martin Ahrens, Noah Heldt, Mario Pieper, Heike Biller, Sönke von Weihe, David Ellebrecht, Mustafa Abdo, Stefan Steurer, Christoph Fraune, Klaus F. Rabe, Gereon Hüttmann, Peter König

Abstract

IntroductionMicroscopy is a cornerstone for diagnostics in lung disease but was traditionally restricted to biopsies and explanted tissue. Microscopic optical coherence tomography (mOCT) produces images with microscopic resolution without the need for exogenous markers. As recently demonstrated in excised mouse tissue, the combination with dynamic contrast (dmOCT) generates high contrast images of airway tissue. DmOCT therefore has the potential to be used for virtual biopsies in humans.MethodsTo assess the potential of dmOCT combined with endoscopic imaging, we scanned excised human lung tissue through a custom-built endoscope optic and compared the resulting dmOCT images with conventional histologic sections of the same tissue. We also assessed if imaging time can be substantially reduced while keeping sufficient dmOCT image quality.ResultsEndoscopic dmOCT successfully visualized the epithelium and subepithelial tissue of human airways including smooth muscle cells and glands. The technique detected key structural changes such as inflammatory cell infiltration, basement membrane thickening, epithelial damage, and the transition to carcinoma in situ. In addition, dmOCT distinguished between different morphologies of human lung cancer present in the examined tissue. The image contrast for discriminating these structures remained sufficient even after the acquisition time was reduced to 0.054s.DiscussionWe have shown that dmOCT, when combined with endoscopic optics, reaches the image quality and imaging speed making its use for virtual biopsies in vivo realistic in the future.
Original languageEnglish
Article number1658890
JournalFrontiers in medicine
Volume12
Pages (from-to)1658890
ISSN2296-858X
DOIs
Publication statusPublished - 20.10.2025

Funding

FundersFunder number
Bundesministerium für Bildung und Forschung82DZL001C2, 82DZL001B2

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 6 - Clean Water and Sanitation
      SDG 6 Clean Water and Sanitation
    3. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

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