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Updated: Aug 5, 2026

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Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules
Published on: October 13, 2023
Methods to localize cell specific alterations within the 3D context of the lung
Jonas Labode1,2, Christian Mühlfeld1,2,3
1Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany.
Frontiers in Physiology
|July 30, 2026
Summary
This review highlights histological methods for assessing lung pathologies like bronchopulmonary dysplasia. Combining imaging techniques allows for detailed 3D spatial and cellular analysis in lung research.
Area of Science:
- Pulmonary Pathology
- Histology
- Medical Imaging
Background:
- The lung's heterogeneous nature necessitates spatial analysis for understanding pathologies.
- Accurate lesion localization is crucial for translating preclinical findings and developing targeted treatments.
- Bronchopulmonary dysplasia serves as a model pathology, but methods are broadly applicable.
Purpose of the Study:
- To review common histological methods for lung pathology analysis.
- To explore the potential of these methods for assessing cellular features and spatial location.
- To detail advanced imaging integration for comprehensive lung pathology research.
Main Methods:
- Review of common histological techniques for cellular and spatial assessment.
- Exploration of morphological characteristics and intracellular states (cell cycle, cell death).
- Integration of multiple imaging modalities (e.g., microscopy, computed tomography) into analysis pipelines.
Main Results:
- Histological methods can evaluate cellular features and spatial localization of lung pathologies.
- Combining microscopy and computed tomography enables 3D spatial assessment alongside cellular details.
- Immunohistochemical markers can be integrated for specific protein detection.
Conclusions:
- Integrated imaging analysis pipelines offer a powerful tool for lung pathology research.
- This approach facilitates both transitional and longitudinal studies of lung diseases.
- The described methods support a deeper understanding of lung heterogeneity in disease contexts.

