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Method Article

Elastic Fiber Profiling in Lung Tissue Using Quantitative Imaging Analyses

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DOI:

10.3791/72114

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August 4th, 2026

In This Article

Summary

Here, we present a protocol detailing tissue preparation for elastic fiber visualization and quantitative profiling in murine lung tissue. This method enables robust assessment of tissue architecture, spatial fiber organization, and extracellular matrix remodeling in physiological and pathological conditions.

Abstract

Remodeling of the pulmonary extracellular matrix (ECM) is a key feature of lung injury and disease. Elastic fibers are a central component of the lung ECM, providing resilience and recoil necessary for normal respiratory function, and their disruption contributes to impaired tissue mechanics. This protocol describes a robust, reproducible workflow for the preparation and analysis of murine lung tissue, with a focus on the visualization and quantitative profiling of elastic fibers. It outlines optimized tissue processing and histological staining methods to preserve and detect elastin structures. In addition, the protocol details an image analysis pipeline enabling quantitative assessment of elastic fiber abundance, organization, and spatial distribution within the lung. The workflow further incorporates stain vector estimation in QuPath, color deconvolution in Fiji/ImageJ, and TWOMBLI-based image analysis to enable quantitative assessment of elastic fiber abundance, branching, and network complexity. Strategies for image acquisition, region-of-interest selection, parameter optimization, and quality control are included to ensure reproducibility and minimize user-dependent bias. Using this workflow, we successfully identified alterations in elastic fiber organization and network architecture in the lungs of obese mice, demonstrating its applicability for detecting disease-associated ECM remodeling. Together, these approaches provide a comprehensive framework to investigate elastic fiber remodeling and its contribution to tissue architecture in physiological and pathological conditions. This method facilitates the study of fibroblast-driven structural changes and supports mechanistic insights into ECM alterations underlying lung disease.

Introduction

Elastic fibers are essential components of the pulmonary extracellular matrix (ECM), composed primarily of elastin and associated microfibrillar proteins that assemble into highly organized, resilient networks1. In the lung, elastic fibers are arranged along alveolar septa and peribronchial structures, where they provide the elasticity and recoil required for normal respiratory mechanics1,2. As one of the most abundant structural ECM components in tissues such as the lung, aorta, and uterus, its integrity is critical for maintaining tissue compliance1,....

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Protocol

All mouse experiments described here were performed in accordance with the approval of the Animal Ethics Committee of the state of North Rhine-Westphalia, Germany (AZ: 81-02.04.2021.A221).

NOTE: Wear appropriate personal protective equipment (lab coat, gloves, eye protection) throughout the procedure.

1. Sampling and Preparation of murine lung tissue

NOTE: Mice were euthanized by isoflurane overdose according to institutional and governmental guidelines prior to tissue collection.

  1. Carefully open the thoracic cavity with a midline incision, then cut the diap....

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Results

This protocol provides quantitative parameters of the elastic fiber network across different lung regions and experimental conditions. TWOMBLI analysis, as previously described, yields parameters such as fiber length, branching density, lacunarity, and fractal dimension for extracellular matrix assessment10. Building upon this framework, our approach enables a comprehensive characterization of elastic fiber organization, allowing assessment of changes in fiber abundance, connectivity, uniformity, .......

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Discussion

This protocol provides a robust, reproducible workflow for investigating murine pulmonary extracellular matrix (ECM) architecture, with a particular focus on fibroblast-driven elastic fiber remodeling. Elastic fibers are essential for maintaining lung compliance and recoil, and their disruption is a hallmark of multiple pulmonary diseases, including fibrosis, lung injury, aging, and metabolic disorders2. Despite their central functional role, quantitative assessment of elastic fiber organization a.......

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Disclosures

The authors declare no competing interests.

Acknowledgements

We would like to thank the Histology Core Facility of the Medical Faculty at the University of Bonn. Additionally, we acknowledge the supportive work of Daniela Kraus and the entire team in the iFET animal facility. V.L.K. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2151 – 390873048.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Axio CS2 Slide Scanner Carl Zeiss
Coplin Glass Staining jarSigma-AldrichS6016
DPX MountantSigma-Aldrich6522
Ethanol (100%) for histologyCarl Roth9065.4
Fijihttps://imagej.net/software/fiji/version 1.54t
Formalin solution, neutral buffered 10%SigmaHT501128
HISTOSETTE I Tissue Processing/Embedding CassettesSigma-AldrichH0542
microtomeThermo Fischer ScietificHM355S
Micrsocope SlidesVWR631-0108
Mouse: C57BL/6JThe Jackson LaboratoryRRID: IMSR_JAX:000664Strain #:000664 
paraffin embedding systemEpredia HistoStar embedding module
Prismhttps://www.graphpad.com version 11
Qupathhttps://qupath.github.ioversion 0.7.0
Resorcin-FuchsinWaldeck2.00E-30
TWOMBLI pluginhttps://github.com/wershofe/TWOMBLI
XyleneApplichem GmBH14020172

References

  1. Schmelzer CEH, Duca L. Elastic fibers: formation, function, and fate during aging and disease. FEBS J. 2022;289:3704-3730.
  2. Heinz A. Elastic fibers during aging and disease. Ageing Res Rev. 2021;66:101255.
  3. Rottmann S, et al. Global matrisome changes in obese lung are linked to fibroblastic stroma and premature aging. Cell Rep. 2025;44:116285.
  4. Naba A, et al. The matrisome: in silico definition and in vivo characterization by proteomics of normal and tumor extracellular matrices. Mol Cell Proteomics. 2012;11:M111 014647.
  5. Schiller HB, Fernandez IE, Burgstaller G, et al. Time- and compartment-resolved proteome profiling of the extracellular niche ....

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Tags

Extracellular MatrixElastic Fiber OrganizationHistological StainingImage AnalysisColor DeconvolutionNetwork ComplexityECM Remodeling

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