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Tomographic in vivo microscopy for the study of lung physiology at the alveolar level

Lovric, Goran; Mokso, Rajmund LU ; Arcadu, Filippo; Vogiatzis Oikonomidis, Ioannis; Schittny, Johannes C.; Roth-Kleiner, Matthias and Stampanoni, Marco (2017) In Scientific Reports 7(1).
Abstract

Lungs represent the essential part of the mammalian respiratory system, which is reflected in the fact that lung failure still is one of the leading causes of morbidity and mortality worldwide. Establishing the connection between macroscopic observations of inspiration and expiration and the processes taking place at the microscopic scale remains crucial to understand fundamental physiological and pathological processes. Here we demonstrate for the first time in vivo synchrotron-based tomographic imaging of lungs with pixel sizes down to a micrometer, enabling first insights into high-resolution lung structure. We report the methodological ability to study lung inflation patterns at the alveolar scale and its potential in resolving... (More)

Lungs represent the essential part of the mammalian respiratory system, which is reflected in the fact that lung failure still is one of the leading causes of morbidity and mortality worldwide. Establishing the connection between macroscopic observations of inspiration and expiration and the processes taking place at the microscopic scale remains crucial to understand fundamental physiological and pathological processes. Here we demonstrate for the first time in vivo synchrotron-based tomographic imaging of lungs with pixel sizes down to a micrometer, enabling first insights into high-resolution lung structure. We report the methodological ability to study lung inflation patterns at the alveolar scale and its potential in resolving still open questions in lung physiology. As a first application, we identified heterogeneous distension patterns at the alveolar level and assessed first comparisons of lungs between the in vivo and immediate post mortem states.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
7
issue
1
publisher
Nature Publishing Group
external identifiers
  • scopus:85030554761
  • wos:000412050100066
ISSN
2045-2322
DOI
10.1038/s41598-017-12886-3
language
English
LU publication?
yes
id
c333373b-1ff1-4f71-b969-0d5a1d2e69ea
date added to LUP
2017-10-16 08:27:11
date last changed
2018-05-06 04:37:34
@article{c333373b-1ff1-4f71-b969-0d5a1d2e69ea,
  abstract     = {<p>Lungs represent the essential part of the mammalian respiratory system, which is reflected in the fact that lung failure still is one of the leading causes of morbidity and mortality worldwide. Establishing the connection between macroscopic observations of inspiration and expiration and the processes taking place at the microscopic scale remains crucial to understand fundamental physiological and pathological processes. Here we demonstrate for the first time in vivo synchrotron-based tomographic imaging of lungs with pixel sizes down to a micrometer, enabling first insights into high-resolution lung structure. We report the methodological ability to study lung inflation patterns at the alveolar scale and its potential in resolving still open questions in lung physiology. As a first application, we identified heterogeneous distension patterns at the alveolar level and assessed first comparisons of lungs between the in vivo and immediate post mortem states.</p>},
  articleno    = {12545},
  author       = {Lovric, Goran and Mokso, Rajmund and Arcadu, Filippo and Vogiatzis Oikonomidis, Ioannis and Schittny, Johannes C. and Roth-Kleiner, Matthias and Stampanoni, Marco},
  issn         = {2045-2322},
  language     = {eng},
  month        = {12},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {Tomographic in vivo microscopy for the study of lung physiology at the alveolar level},
  url          = {http://dx.doi.org/10.1038/s41598-017-12886-3},
  volume       = {7},
  year         = {2017},
}