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@ARTICLE{Menzel:897096,
author = {Menzel, Miriam and Ritzkowski, Marouan and Reuter, Jan
André and Gräßel, David and Amunts, Katrin and Axer,
Markus},
title = {{S}catterometry {M}easurements with {S}cattered {L}ight
{I}maging {E}nable {N}ew {I}nsights into the {B}rain's
{N}erve {F}iber {A}rchitecture},
reportid = {FZJ-2021-03595},
year = {2021},
note = {13 pages, 7 figures},
abstract = {The correct reconstruction of individual (crossing) nerve
fibers is a prerequisite when constructing a detailed
network model of the brain. The recently developed technique
Scattered Light Imaging (SLI) allows the reconstruction of
crossing nerve fiber pathways in whole brain tissue samples
with micrometer resolution: The individual fiber
orientations are determined by illuminating unstained
histological brain sections from different directions,
measuring the transmitted scattered light under normal
incidence, and studying the light intensity profiles of each
pixel in the resulting image series. So far, SLI
measurements were performed with a fixed polar angle of
illumination and a small number of illumination directions,
providing only an estimate of the nerve fiber directions and
limited information about the underlying tissue structure.
Here, we use an LED display with individually controllable
LEDs to measure the full distribution of scattered light
behind the sample (scattering pattern) for each image pixel
at once, enabling scatterometry measurements of whole brain
tissue samples. We compare our results to coherent Fourier
scatterometry (raster-scanning the sample with a non-focused
laser beam) and previous SLI measurements with fixed polar
angle of illumination, using sections from a vervet monkey
brain and human optic tracts. Finally, we present SLI
scatterometry measurements of a human brain section with 3
$\mu$m in-plane resolution, demonstrating that the technique
is a powerful approach to gain new insights into the nerve
fiber architecture of the human brain.},
cin = {INM-1},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
pid = {G:(DE-HGF)POF4-5254},
typ = {PUB:(DE-HGF)25},
eprint = {2108.13481},
howpublished = {arXiv:2108.13481},
archivePrefix = {arXiv},
SLACcitation = {$\%\%CITATION$ = $arXiv:2108.13481;\%\%$},
url = {https://juser.fz-juelich.de/record/897096},
}