ArticleJournal of cellular physiology2023
Topography of pleural epithelial structure enabled by en face isolation and machine learning.
Article in Journal of cellular physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Evolving topological order in the postnatal visceral pleura.Developmental dynamics : an official publication of the American Association of Anatomists · 2024Article
- Buckling forces and the wavy folds between pleural epithelial cells.Bio Systems · 2024Article
- Biomechanics of a Plant-Derived Sealant for Corneal Injuries.Translational vision science & technology · 2023Article
- Geometric and network organization of visceral organ epithelium.Frontiers in network physiology · 2023Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
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Abstract
Pleural epithelial adaptations to mechanical stress are relevant to both normal lung function and parenchymal lung diseases. Assessing regional differences in mechanical stress, however, has been complicated by the nonlinear stress-strain properties of the lung and the large displacements with ventilation. Moreover, there is no reliable method of isolating pleural epithelium for structural studies. To define the topographic variation in pleural structure, we developed a method of en face harvest of murine pleural epithelium. Silver-stain was used to highlight cell borders and facilitate imaging with light microscopy. Machine learning and watershed segmentation were used to define the cell area and cell perimeter of the isolated pleural epithelial cells. In the deflated lung at residual volume, the pleural epithelial cells were significantly larger in the apex (624 ± 247 μm
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