This title appears in the Scientific Report :
2018
Please use the identifier:
http://hdl.handle.net/2128/19842 in citations.
Please use the identifier: http://dx.doi.org/10.3389/fnana.2018.00075 in citations.
Derivation of Fiber Orientations From Oblique Views Through Human Brain Sections in 3D-Polarized Light Imaging
Derivation of Fiber Orientations From Oblique Views Through Human Brain Sections in 3D-Polarized Light Imaging
3D-Polarized Light Imaging (3D-PLI) enables high-resolution three-dimensional mapping of the nerve fiber architecture in unstained histological brain sections based on the intrinsic birefringence of myelinated nerve fibers. The interpretation of the measured birefringent signals comes with conjointl...
Saved in:
Personal Name(s): | Schmitz, Daniel (Corresponding author) |
---|---|
Münzing, Sascha / Schober, Martin / Schubert, Nicole / Minnerop, Martina / Lippert, Thomas / Amunts, Katrin / Axer, Markus | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 JARA - HPC; JARA-HPC Jülich Supercomputing Center; JSC |
Published in: | Frontiers in neuroanatomy, 12 (2018) S. 75 |
Imprint: |
Lausanne
Frontiers Research Foundation
2018
|
PubMed ID: |
30323745 |
DOI: |
10.3389/fnana.2018.00075 |
Document Type: |
Journal Article |
Research Program: |
3D Reconstruction of Nerve Fibers in the Human, the Monkey, the Rodent, and the Pigeon Brain Human Brain Project Specific Grant Agreement 1 Human Brain Project Specific Grant Agreement 2 Computational Science and Mathematical Methods Theory, modelling and simulation |
Link: |
Get full text Get full text OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.3389/fnana.2018.00075 in citations.
3D-Polarized Light Imaging (3D-PLI) enables high-resolution three-dimensional mapping of the nerve fiber architecture in unstained histological brain sections based on the intrinsic birefringence of myelinated nerve fibers. The interpretation of the measured birefringent signals comes with conjointly measured information about the local fiber birefringence strength and the fiber orientation. In this study, we present a novel approach to disentangle both parameters from each other based on a weighted least squares routine (ROFL) applied to oblique polarimetric 3D-PLI measurements. This approach was compared to a previously described analytical method on simulated and experimental data obtained from a post mortem human brain. Analysis of the simulations revealed in case of ROFL a distinctly increased level of confidence to determine steep and flat fiber orientations with respect to the brain sectioning plane. Based on analysis of histological sections of a human brain dataset, it was demonstrated that ROFL provides a coherent characterization of cortical, subcortical, and white matter regions in terms of fiber orientation and birefringence strength, within and across sections. Oblique measurements combined with ROFL analysis opens up new ways to determine physical brain tissue properties by means of 3D-PLI microscopy |