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  4. Novel use of X-ray micro computed tomography to image rat sciatic nerve and integration into scaffold
 
research article

Novel use of X-ray micro computed tomography to image rat sciatic nerve and integration into scaffold

Watling, C. P.
•
Lago, N.
•
Benmerah, S.
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2010
Journal of neuroscience methods

This paper describes how specimens of nervous tissue can be prepared for successful imaging in X-ray Micro Computed Tomography (μCT), and how this method can be used to study the integration of nervous tissue into a polymeric scaffold. The sample preparation involves staining the biological tissue with osmium tetroxide to increase its X-ray attenuation, and a technique for maintaining the specimen in a moist environment during the experiment to prevent drying and shrinkage. Using this method it was possible to observe individual nerve fascicles and their relationship to the 3-D tissue structure. A scaffold supporting a regenerated sciatic nerve was similarly stained to distinguish the nervous tissue from the scaffold, and to observe how the nerve grew through a 2.5 mm long, 100 μm × 100 μm cross-section channel polyimide array. Furthermore, blood vessels could be identified in these images, and it was possible to monitor how a large proximal blood vessel split through the channel scaffold and proceeded down individual channels. This paper explains how μCT is a useful tool both for studying the location and extent of growth into a polymeric scaffold, and for determining whether the regenerated tissue has blood supply.

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Type
research article
DOI
10.1016/j.jneumeth.2010.01.032
Author(s)
Watling, C. P.
Lago, N.
Benmerah, S.
FitzGerald, J. J.
Tarte, E.
McMahon, S.
Lacour, S. P.  
Cameron, R. E.
Date Issued

2010

Published in
Journal of neuroscience methods
Volume

188

Issue

1

Start page

39

End page

44

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LSBI  
Available on Infoscience
May 1, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/79885
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