Three-dimensional imaging and analysis of entire peripheral nerves after repair and reconstruction
| Autor: | Daniel F. Kalbermatten, Georg Schulz, Simone E. Hieber, Srinivas Madduri, Lucas Degrugillier, Peter Thalmann, Christos Bikis, Bert Müller |
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| Rok vydání: | 2018 |
| Předmět: |
Morphology
X-ray microtomography Computer science 02 engineering and technology Nerve conduits Neurosurgical Procedures Rats Sprague-Dawley Non-destructive 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine ΜCT Absorbable Implants Quantitative assessment Animals Peripheral Nerves Nerve reconstruction ddc:617 General Neuroscience Micro computed tomography Sampling error X-Ray Microtomography Plastic Surgery Procedures 021001 nanoscience & nanotechnology Capillaries D imaging Visualization Peripheral Three dimensional imaging Connective Tissue Micrometer Female Tomography Anatomy Axonal regeneration 0210 nano-technology X-ray tomography 030217 neurology & neurosurgery Biomedical engineering |
| Zdroj: | Journal of Neuroscience Methods, Vol. 295 (2018) pp. 37-44 |
| ISSN: | 0165-0270 |
| Popis: | Background We 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 method We 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. Results Analysis 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 methods Our approach avoids the sampling error associated with conventional 2D visualization approaches and holds promise for automation of the analysis of large series of datasets. Conclusions We 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. |
| Databáze: | OpenAIRE |
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