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Assessment of the effects of different sample perfusion procedures on phase-contrast tomographic images of mouse spinal cord

Stefanutti, E.
•
Sierra, A.
•
Miocchi, P.
altro
Fratini, M.
2018
  • journal article

Periodico
JOURNAL OF INSTRUMENTATION
Abstract
Synchrotron X-ray Phase Contrast micro-Tomography (SXrPCμT) is a powerful tool in the investigation of biological tissues, including the central nervous system (CNS), and it allows to simultaneously detect the vascular and neuronal network avoiding contrast agents or destructive sample preparations. However, specific sample preparation procedures aimed to optimize the achievable contrast- and signal-to-noise ratio (CNR and SNR, respectively) are required. Here we report and discuss the effects of perfusion with two different fixative agents (ethanol and paraformaldehyde) and with a widely used contrast medium (MICROFIL®) on mouse spinal cord. As a main result, we found that ethanol enhances contrast at the grey/white matter interface and increases the contrast in correspondence of vascular features and fibres, thus providing an adequate spatial resolution to visualise the vascular network at the microscale. On the other hand, ethanol is known to induce tissue dehydration, likely reducing cell dimensions below the spatial resolution limit imposed by the experimental technique. Nonetheless, neurons remain well visible using either perfused paraformaldehyde or MICROFIL® compound, as these latter media do not affect tissues with dehydration effects. Paraformaldehyde appears as the best compromise: it is not a contrast agent, like MICROFIL®, but it is less invasive than ethanol and permits to visualise well both cells and blood vessels. However, a quantitative estimation of the relative grey matter volume of each sample has led us to conclude that no significant alterations in the grey matter extension compared to the white matter occur as a consequence of the perfusion procedures tested in this study.
DOI
10.1088/1748-0221/13/03/C03027
WOS
WOS:000427506600003
Archivio
http://hdl.handle.net/11368/2940214
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85045002888
http://iopscience.iop.org/article/10.1088/1748-0221/13/03/C03027/pdf
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/2940214/1/2018_StefanuttiEtAl_JINST.pdf
Soggetti
  • computer-aided diagno...

  • Medical-image reconst...

  • computer-aided softwa...

  • Medical-image reconst...

  • Instrumentation

  • Mathematical Physics

Web of Science© citazioni
6
Data di acquisizione
Mar 22, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
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