Lovric, Goran; Vogiatzis Oikonomidis, Ioannis; Mokso, Rajmund; Stampanoni, Marco; Roth-Kleiner, Matthias; Schittny, Johannes (2017). Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale. PLoS ONE, 12(9), e0183979. Public Library of Science 10.1371/journal.pone.0183979
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Using state-of-the-art X-ray tomographic microscopy we can image lung tissue in three dimensions in intact animals down to a micrometer precision. The structural complexity and hierarchical branching scheme of the lung at this level of details, however, renders the extraction of biologically relevant quantities particularly challenging. We have developed a methodology for a detailed description of lung inflation patterns by measuring the size and the local curvature of the parenchymal airspaces. These quantitative tools for morphological and topological analyses were applied to high-resolution murine 3D lung image data, inflated at different pressure levels under immediate post mortem conditions. We show for the first time direct indications of heterogeneous intra-lobar and inter-lobar distension patterns at the alveolar level. Furthermore, we did not find any indication that a cyclic opening-and-collapse (recruitment) of a large number of alveoli takes place.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy > Topographical and Clinical Anatomy |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Vogiatzis Oikonomidis, Ioannis, Schittny, Johannes |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISSN: |
1932-6203 |
Publisher: |
Public Library of Science |
Language: |
English |
Submitter: |
Johannes Schittny |
Date Deposited: |
14 Dec 2017 09:19 |
Last Modified: |
10 Aug 2024 22:07 |
Publisher DOI: |
10.1371/journal.pone.0183979 |
PubMed ID: |
28934236 |
BORIS DOI: |
10.7892/boris.107421 |
URI: |
https://boris.unibe.ch/id/eprint/107421 |