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| Hauptseite > Publikationsdatenbank > Nerve Fiber Modeling and 3D-PLI Simulations of a Tilting Polarization Microscope |
| Hauptseite > Publikationsdatenbank > Nerve Fiber Modeling and 3D-PLI Simulations of a Tilting Polarization Microscope |
| Dissertation / PhD Thesis | FZJ-2023-02149 |
2023
Universitäts- und Landesbibliothek Düsseldorf
Düsseldorf
Please use a persistent id in citations: http://hdl.handle.net/2128/34569 urn:nbn:de:hbz:061-20230403-141602-3
Abstract: In the Fiber Architecture group of the Institute of Neuroscience and Medicine, Structuraland Functional Organization of the Brain (INM-1), 3D Polarized Light Imaging (3D-PLI)microscopy is used to measure the orientation of nerve fibers in unstained brain sections.Interpretation of the measurement can be challenging for certain regions, for examplewhere fibers cross or are oriented perpendicular to the sectioning plane. To understandthe behavior of the measured signal of such structures without further external influences,such as non-ideal optics, simulations are used where each parameter is known. In orderto perform simulations, virtual tissue models are needed and a virtual 3D-PLI microscope,being capable of simulating the influence of the tissue on the light.In order to design realistic models of dense nerve fiber tissue, it must be ensured thatindividual nerve fibers do not overlap. This is especially difficult to design in advancefor interwoven structures, as is occurs in nerve fiber crossings. Therefore, a nerve fibermodeling specialized algorithm was designed in this thesis. The algorithm will checka given volume for overlaps of single nerve fibers, and then slowly push them apart atthe affected locations. Thus, a collision-free tissue model is created over time. Thepre-existing simulation algorithm of the 3D PLI microscope was completely redesigned aspart of this work. The algorithm is now able to run in parallel on multiple CPU cores aswell as computational clusters. Thus, a large number of simulations can be performed,allowing for greater statistics in the analyses. These two algorithms were published inthe software package fiber architecture simulation toolbox of 3D-PLI (fastPLI).Finally, in this thesis, nerve fiber models consisting of two nerve fiber populations,i. e. two densely packed crossing nerve fiber bundles, were created and subsequentlysimulated. The results show, that the orientation of the nerve fiber population, whichhas a higher proportion in the volume, can be determined. With the current resolution ofthe microscopes used, it is not possible to determine both fiber population orientationsindividual. The measured orientation seems to follow the circular mean as a functionon the proportional volume fraction of the nerve fiber populations, taking into accountthe decrease of the measured signal due to the increasing tilt angle. In summary, thedevelopment of the algorithm for modeling nerve fibers together with the simulation ina toolbox has proven to be a suitable tool to be able to investigate questions quicklythrough simulations.
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