ArticleProceedings of the National Academy of Sciences of the United States of America2012
Assessment of morphometry of pulmonary acini in mouse lungs by nondestructive imaging using multiscale microcomputed tomography.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 114 citations in OpenAlex.
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- Microvascular maturation of the septal capillary layers takes place in parallel to alveolarization in human lungs.American journal of physiology. Lung cellular and molecular physiology · 2023Article
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- Application of Machine Learning for Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography.Journal of aerosol medicine and pulmonary drug delivery · 2023Article
- Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report.Annals of the American Thoracic Society · 2023Article
- Acinar micromechanics in health and lung injury: what we have learned from quantitative morphology.Frontiers in physiology · 2023Review
- Origins of and lessons from quantitative functional X-ray computed tomography of the lung.The British journal of radiology · 2022Review
- Validating in vivo hyperpolarizedMagnetic resonance in medicine · 2021Article
- Call for Papers: "Morphology is the link between genetics and function": a tribute to Ewald R. Weibel.American journal of physiology. Lung cellular and molecular physiology · 2021Article
- Stereology as the 3D tool to quantitate lung architecture.Histochemistry and cell biology · 2021Review
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- Three-Dimensional Whole-Organ Characterization of the Regional Alveolar Morphology in Normal Murine Lungs.Frontiers in physiology · 2021Article
- Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood.American journal of physiology. Heart and circulatory physiology · 2020Article
- Comprehensive stereological assessment of the human lung using multiresolution computed tomography.Journal of applied physiology (Bethesda, Md. : 1985) · 2020Article
- CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).IEEE transactions on medical imaging · 2020Article
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
Abstract
Establishing the 3D architecture and morphometry of the intact pulmonary acinus is an essential step toward a more complete understanding of the relationship of lung structure and function. We combined a special fixation method with a unique volumetric nondestructive imaging technique and image processing tools to separate individual acini in the mouse lung. Interior scans of the parenchyma at a resolution of 2 µm enabled the reconstruction and quantitative study of whole acini by image analysis and stereologic methods, yielding data characterizing the 3D morphometry of the pulmonary acinus. The 3D reconstructions compared well with the architecture of silicon rubber casts of mouse acini. The image-based segmentation of individual acini allowed the computation of acinar volume and surface area, as well as estimation of the number of alveoli per acinus using stereologic methods. The acinar morphometry of male C57BL/6 mice age 12 wk and 91 wk was compared. Significant increases in all parameters as a function of age suggest a continuous change of the lung morphometry, with an increase in alveoli beyond what has been previously viewed as the maturation phase of the animals. Our image analysis methods open up opportunities for defining and quantitatively assessing the acinar structure in healthy and diseased lungs. The methods applied here to mice can be adjusted for the study of similarly prepared human lungs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.