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Abstract
Myelin insulates neuronal axons and enables fast signal transmission, constituting a key component of brain development, aging and disease. Yet, myelin-specific imaging of macroscopic samples remains a challenge. Here, we exploit myelin’s nanostructural periodicity, and use small-angle X-ray scattering tensor tomography (SAXS-TT) to simultaneously quantify myelin levels, nanostructural integrity and axon orientations in nervous tissue. Proof-of-principle is demonstrated in whole mouse brain, mouse spinal cord and human white and gray matter samples. Outcomes are validated by 2D/3D histology and compared to MRI measurements sensitive to myelin and axon orientations. Specificity to nanostructure is exemplified by concomitantly imaging different myelin types with distinct periodicities. Finally, we illustrate the method’s sensitivity towards myelin-related diseases by quantifying myelin alterations in dysmyelinated mouse brain. This non-destructive, stain-free molecular imaging approach enables quantitative studies of myelination within and across samples during development, aging, disease and treatment, and is applicable to other ordered biomolecules or nanostructures.
Small-angle X-ray scattering (SAXS) combines the high tissue penetration of X-rays with specificity to periodic nanostructures. The authors use SAXS tensor tomography (SAXS-TT) on intact mouse and human brain tissue samples, to quantify myelin levels and determine myelin integrity, myelinated axon orientation, and fibre tracts non-destructively.
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1 ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); New York University School of Medicine, Center for Biomedical Imaging, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); Stanford School of Medicine, Department of Radiology, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
2 ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780)
3 Swiss Light Source, Paul Scherrer Institute, Villigen, Switzerland (GRID:grid.5991.4) (ISNI:0000 0001 1090 7501); ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780)
4 Swiss Light Source, Paul Scherrer Institute, Villigen, Switzerland (GRID:grid.5991.4) (ISNI:0000 0001 1090 7501)
5 Chalmers University of Technology, Department of Physics, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028)
6 Stanford School of Medicine, Department of Radiology, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
7 University of Colorado Denver, Department of Integrative Biology, Denver, USA (GRID:grid.241116.1) (ISNI:0000000107903411)
8 New York University School of Medicine, Center for Biomedical Imaging, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753)
9 Johns Hopkins Medicine, Department of Radiology, Baltimore, USA (GRID:grid.469474.c) (ISNI:0000 0000 8617 4175); University of Maryland, Department of Diagnostic Radiology & Nuclear Medicine, Baltimore, USA (GRID:grid.411024.2) (ISNI:0000 0001 2175 4264)
10 Brookhaven National Laboratory, National Synchrotron Light Source II, Upton, USA (GRID:grid.202665.5) (ISNI:0000 0001 2188 4229)
11 University of Zurich, Balgrist University Hospital, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
12 SLAC National Accelerator Laboratory, Stanford Synchrotron Radiation Lightsource, Menlo Park, USA (GRID:grid.445003.6) (ISNI:0000 0001 0725 7771)
13 ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); University of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)