Publication date: 1 February 2018
Source:Journal of Neuroscience Methods, Volume 295
Author(s): Christos Bikis, Lucas Degrugillier, Peter Thalmann, Georg Schulz, Bert Müller, Simone E. Hieber, Daniel F. Kalbermatten, Srinivas Madduri
BackgroundWe wanted to achieve a three-dimensional (3D), non-destructive imaging and automatic post-analysis and evaluation of reconstructed peripheral nerves without involving cutting and staining processes.New methodWe used a laboratory-based micro computed tomography system for imaging, as well as a custom analysis protocol. The sample preparation was also adapted in order to achieve 3D images with true micrometer resolution and suitable contrast.ResultsAnalysis of the acquired tomograms enabled the quantitative assessment of 3D tissue structures, i.e., surface morphology, nerve fascicles, nerve tissue volume, geometry, and vascular regrowth. The resulting data showed significant differences between operated animals and non-operated controls.Comparison with existing methodsOur approach avoids the sampling error associated with conventional 2D visualization approaches and holds promise for automation of the analysis of large series of datasets.ConclusionsWe have presented a potential way for 3D imaging and analysis of entire regenerated nerves non-destructively, paving the way for high-throughput analysis of therapeutic conditions of treating adult nerve injuries.
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