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Updated: Jun 13, 2026

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A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
Published on: March 30, 2020
Reviving formalin-fixed, paraffin embedded (FFPE) tissues for on-slide and multiscale correlative microscopy
Zenan Chen1, Chad Moore2, Samson Dowland1,3
1School of Medical Sciences (Molecular Biomedicine Research Theme), The University of Sydney, Camperdown, NSW, 2006, Australia.
Scientific Reports
|June 11, 2026
Summary
We developed two new correlative microscopy workflows for formalin-fixed, paraffin-embedded (FFPE) tissues. These methods enable high-resolution imaging of archived clinical specimens for advanced structural analysis.
Area of Science:
- Biomedical Imaging
- Electron Microscopy
- Histology
Background:
- Correlative microscopy combines multiple imaging techniques for comprehensive biological sample analysis.
- Formalin-fixed, paraffin-embedded (FFPE) tissues are abundant clinical archives but often challenging for high-resolution imaging.
- Existing methods may not fully exploit the structural information within FFPE specimens.
Purpose of the Study:
- To present novel correlative microscopy workflows for FFPE human tissues.
- To demonstrate the utility of archived FFPE specimens for multiscale structural analysis.
- To establish FFPE tissues as a valuable resource for advanced imaging in research and clinical settings.
Main Methods:
- Developed an on-slide correlative light and electron microscopy (CLEM) workflow integrating brightfield light microscopy and scanning electron microscopy.
- Established a multiscale 3D workflow combining X-ray micro-computed tomography (micro-CT) and serial block-face scanning electron microscopy (SBF-SEM).
- Applied artificial intelligence (AI)-assisted image processing and segmentation for quantitative analysis of large datasets.
Main Results:
- Demonstrated that FFPE tissues from liver, lung, brain, and heart retain structural integrity for cellular and subcellular resolution.
- Successfully resolved ultrastructural features from standard FFPE histological sections using on-slide CLEM.
- Achieved targeted, volumetric ultrastructural analysis within defined tissue contexts using the multiscale 3D workflow.
- Validated the scalability and quantitative potential of AI-assisted analysis for large imaging datasets.
Conclusions:
- FFPE human tissues are a versatile and accessible resource for multiscale correlative imaging.
- The presented workflows enhance the utility of archived clinical specimens for high-resolution structural analysis.
- These methods facilitate advanced research and clinical applications by enabling detailed examination of tissue architecture.
Keywords:
Artificial intelligenceCorrelative light and electron microscopyCorrelative microscopyFormalin-fixed paraffin embeddedHistopathologyVolume electron microscopy
