Stain-free three-dimensional organ imaging by serial optical coherence microscopy and tissue clearing: toward comprehensive histopathology

Abstract Histopathology is advancing rapidly with technologies such as slide scanners and deep learning that improve diagnostic efficiency and enable digital workflows. However, conventional methods rely on stained thin tissue sections, limiting comprehensive access to three-dimensional (3D) pathological information. Here, we introduce a histological approach integrating optical coherence microscopy (OCM) with tissue clearing and serial sectioning, eliminating the need for staining. We optimized the processing conditions of OptiMuS for OCM to accelerate clearing while preserving structural backscattering contrast. Applying serial OCM (SOCM), we visualized and quantified key anatomical features, including 3D vascular networks, in five optically cleared organs from eight-week-old male C57BL/6 mice. This approach supports large-scale data acquisition and statistical analysis across whole mouse organs. By delivering quantitative, spatially resolved data, it provides new insights and enhances the scalability and objectivity of histopathological evaluation beyond the capabilities of conventional digital pathology.

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Publication Details

Journal
npj Imaging
Published
2026-10-31
DOI
https://doi.org/10.1038/s44303-026-00214-2
Primary Topic
Optical Coherence Tomography Applications
Type
article
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article

Stain-free three-dimensional organ imaging by serial optical coherence microscopy and tissue clearing: toward comprehensive histopathology

Andrey Vavilin, Woonggyu Jung, Sunghoe Chang, Eunjung Min et al.
npj Imaging
Optical Coherence Tomography Applications
article

Stain-free three-dimensional organ imaging by serial optical coherence microscopy and tissue clearing: toward comprehensive histopathology

Andrey Vavilin, Woonggyu Jung, Sunghoe Chang, Eunjung Min, Geoseong Na, Myungju Kim, Hyunmo Yang, Yujin Ahn, Yeonwoo Baek, Kitae Kim, Eunji Lee, Kibeom Park, Sangjin Lee
article en

Abstract

Abstract Histopathology is advancing rapidly with technologies such as slide scanners and deep learning that improve diagnostic efficiency and enable digital workflows. However, conventional methods rely on stained thin tissue sections, limiting comprehensive access to three-dimensional (3D) pathological information. Here, we introduce a histological approach integrating optical coherence microscopy (OCM) with tissue clearing and serial sectioning, eliminating the need for staining. We optimized the processing conditions of OptiMuS for OCM to accelerate clearing while preserving structural backscattering contrast. Applying serial OCM (SOCM), we visualized and quantified key anatomical features, including 3D vascular networks, in five optically cleared organs from eight-week-old male C57BL/6 mice. This approach supports large-scale data acquisition and statistical analysis across whole mouse organs. By delivering quantitative, spatially resolved data, it provides new insights and enhances the scalability and objectivity of histopathological evaluation beyond the capabilities of conventional digital pathology.

npj Imaging
Seoul National University (KR), University of Illinois Urbana-Champaign (US), Korea Photonics Technology Institute (KR), Ulsan National Institute of Science and Technology (KR)
Openalex Percentile: Top 24%
Optical Coherence Tomography Applications
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