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@ARTICLE{Menzel:891045,
      author       = {Menzel, Miriam and Reuter, Jan André and Gräßel, David
                      and Huwer, Mike and Schlömer, Philipp and Amunts, Katrin
                      and Axer, Markus},
      title        = {{S}cattered {L}ight {I}maging: {R}esolving the substructure
                      of nerve fiber crossings in whole brain sections with
                      micrometer resolution},
      journal      = {NeuroImage},
      volume       = {233},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2021-01331},
      pages        = {117952 -},
      year         = {2021},
      abstract     = {For developing a detailed network model of the brain based
                      on image reconstructions, it is necessary to spatially
                      resolve crossing nerve fibers. The accuracy hereby depends
                      on many factors, including the spatial resolution of the
                      imaging technique. 3D Polarized Light Imaging (3D-PLI)
                      allows the three-dimensional reconstruction of nerve fiber
                      tracts in whole brain sections with micrometer in-plane
                      resolution, but leaves uncertainties in pixels containing
                      crossing fibers. Here we introduce Scattered Light Imaging
                      (SLI) to resolve the substructure of nerve fiber crossings.
                      The measurement is performed on the same unstained
                      histological brain sections as in 3D-PLI. By illuminating
                      the brain sections from different angles and measuring the
                      transmitted (scattered) light under normal incidence, light
                      intensity profiles are obtained that are characteristic for
                      the underlying brain tissue structure. We have developed a
                      fully automated evaluation of the intensity profiles,
                      allowing the user to extract various characteristics, like
                      the individual directions of in-plane crossing nerve fibers,
                      for each image pixel at once. We validate the reconstructed
                      nerve fiber directions against results from previous
                      simulation studies, scatterometry measurements, and fiber
                      directions obtained from 3D-PLI. We demonstrate in different
                      brain samples (human optic tracts, vervet monkey brain, rat
                      brain) that the 2D fiber directions can be reliably
                      reconstructed for up to three crossing nerve fiber bundles
                      in each image pixel with an in-plane resolution of up to 6.5
                      $\mu$m. We show that SLI also yields reliable fiber
                      directions in brain regions with low 3D-PLI signals coming
                      from regions with a low density of myelinated nerve fibers
                      or out-of-plane fibers. This makes Scattered Light Imaging a
                      promising new imaging technique, providing crucial
                      information about the organization of crossing nerve fibers
                      in the brain.},
      cin          = {INM-1 / JARA-HPC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539) / SMHB - Supercomputing and Modelling for the Human
                      Brain (HGF-SMHB-2013-2017) / 3D Reconstruction of Nerve
                      Fibers in the Human, the Monkey, the Rodent, and the Pigeon
                      Brain $(jinm11_20191101)$ / 5251 - Multilevel Brain
                      Organization and Variability (POF4-525)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      $G:(DE-Juel1)jinm11_20191101$ / G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33716156},
      UT           = {WOS:000647590900007},
      doi          = {10.1016/j.neuroimage.2021.117952},
      url          = {https://juser.fz-juelich.de/record/891045},
}