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Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale

Lovric, Goran ; Vogiatzis Oikonomidis, Ioannis ; Mokso, Rajmund LU ; Stampanoni, Marco ; Roth-Kleiner, Matthias and Schittny, Johannes C. (2017) In PLoS ONE 12(9).
Abstract

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... (More)

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.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
12
issue
9
article number
e0183979
publisher
Public Library of Science (PLoS)
external identifiers
  • scopus:85029697455
  • pmid:28934236
ISSN
1932-6203
DOI
10.1371/journal.pone.0183979
language
English
LU publication?
yes
id
83e7b3e0-4047-4615-b97f-0c95c860db4c
date added to LUP
2018-01-25 08:53:01
date last changed
2024-01-14 14:06:49
@article{83e7b3e0-4047-4615-b97f-0c95c860db4c,
  abstract     = {{<p>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.</p>}},
  author       = {{Lovric, Goran and Vogiatzis Oikonomidis, Ioannis and Mokso, Rajmund and Stampanoni, Marco and Roth-Kleiner, Matthias and Schittny, Johannes C.}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  month        = {{09}},
  number       = {{9}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0183979}},
  doi          = {{10.1371/journal.pone.0183979}},
  volume       = {{12}},
  year         = {{2017}},
}