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Label-free volumetric imaging of porcine kidney tissue over extended areas using dynamic MHz-OCT

Sazgar Burhan, Madita Göb, Tjalfe Laedtke, Thorge Grahl, Michael Münter, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Robert Huber

Abstract

Dynamic optical coherence tomography (dOCT) enables high-resolution, label-free 3D tissue imaging with functional contrast, offering a potential advancement in kidney transplant viability assessment. Currently, no widely accepted non-invasive method provides an objective evaluation of transplant viability, as conventional imaging lacks the resolution to assess microvascular integrity and cellular dynamics. However, the clinical use of available dOCT systems is limited by prolonged imaging times that hinder clear visualization of tissue dynamics. To address these challenges, this paper presents a swept-source 3.2 MHz-OCT system for dynamic, high-speed, extended-area imaging. The system integrates an optimized inter-volume scan protocol and a micrometer-precision linear robot, enabling extended‑scale tissue imaging over an area of about 2.6 × 2.6 mm2. Using freshly excised porcine kidney tissue, we demonstrate recent advancements and challenges in MHz-dOCT for kidney imaging. Identified anatomical features are thoroughly examined, compared across resolutions, and validated through histology to assess the system’s clinical potential.
Original languageEnglish
Article number32426
JournalScientific Reports
Volume15
Issue number1
Pages (from-to)32426
ISSN2045-2322
DOIs
Publication statusPublished - 12.09.2025

Funding

FundersFunder number
Deutsche ForschungsgemeinschaftEXC 2167–390884018
Bundesministerium für Bildung und ForschungKK5143004AB3, 13GW0227B, 13N14665

    UN SDGs

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

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

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    • EXC 2167: Precision Medicine in Chronic Inflammation (PMI)

      Schreiber, S. (Speaker), Baines, J. F. (Project Staff), Bosch, T. C. G. (Project Staff), Buyx, A. (Project Staff), Erdmann, J. (Project Staff), Franke, A. (Project Staff), Huber, R. (Project Staff), Klein, C. (Project Staff), Köhl, J. (Project Staff), König, I. R. (Project Staff), Lange, C. (Project Staff), Laudes, M. (Project Staff), Lieb, W. (Project Staff), Ludwig, R. (Project Staff), Nebel, A. (Project Staff), Niemann, S. (Speaker), Rabe, K. F. (Project Staff), Riemekasten, G. (Speaker), Rose-John, S. (Project Staff), Rosenstiel, P. C. (Project Staff), Schulenburg, H. (Project Staff), Schwarz, K. (Project Staff), Traulsen, A. (Project Staff), Weidinger, S. (Project Staff) & Zillikens, D. (Project Staff)

      01.01.1931.12.32

      Project: DFG Joint ResearchCluster of Excellence

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