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@ARTICLE{Menzel:903477,
author = {Menzel, Miriam and Ritzkowski, Marouan and Reuter, Jan A.
and Gräßel, David and Amunts, Katrin and Axer, Markus},
title = {{S}catterometry {M}easurements {W}ith {S}cattered {L}ight
{I}maging {E}nable {N}ew {I}nsights {I}nto the {N}erve
{F}iber {A}rchitecture of the {B}rain},
journal = {Frontiers in neuroanatomy},
volume = {15},
issn = {1662-5129},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2021-05149},
pages = {767223},
year = {2021},
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 a display with individually controllable
light-emitting diodes 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 μm 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},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
JL SMHB - Joint Lab Supercomputing and Modeling for the
Human Brain (JL SMHB-2021-2027) / HBP SGA3 - Human Brain
Project Specific Grant Agreement 3 (945539)},
pid = {G:(DE-HGF)POF4-5254 / G:(DE-Juel1)JL SMHB-2021-2027 /
G:(EU-Grant)945539},
typ = {PUB:(DE-HGF)16},
pubmed = {34912194},
UT = {WOS:000731650800001},
doi = {10.3389/fnana.2021.767223},
url = {https://juser.fz-juelich.de/record/903477},
}