10.26165/JUELICH-DATA/ZOBFV7Oberstrass, AlexanderAlexanderOberstrass0000-0003-0712-034XInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, GermanyVaca-Cerda, EstebanEstebanVaca-Cerda0000-0003-0217-7208Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, GermanyUpschulte, EricEricUpschulte0000-0002-6398-038XInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, Germany & Cécile & Oskar Vogt Institute of Brain Research, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, GermanyNiu, MeiqiMeiqiNiu0000-0001-7937-5814Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, GermanyPalomero-Gallagher, NicolaNicolaPalomero-Gallagher0000-0003-4463-8578Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, GermanyGraessel, DavidDavidGraessel0000-0003-3228-8048Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, GermanySchiffer, ChristianChristianSchiffer0000-0002-2544-843XInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, GermanyAxer, MarkusMarkusAxer0000-0001-5871-9331Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Department of Physics, University of Wuppertal, GermanyAmunts, KatrinKatrinAmunts0000-0001-5828-0867Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Cécile & Oskar Vogt Institute of Brain Research, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, GermanyDickscheid, TimoTimoDickscheid0000-0002-9051-3701Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, Germany & Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyJülich DATA2025Medicine, Health and Life SciencesOberstrass, AlexanderAlexanderOberstrassInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany & Helmholtz AI, Research Centre Jülich, Germany2025-03-212025-10-1067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348067172520895334808953348089533480671725208953348089533480895334806717252089533480895334808953348050423712671725206717252067172520671725208953348067172520671725208953348089533480504237126717252067172520671725206717252089533480671725206717252089533480895334805042371267172520671725206717252067172520895334806717252067172520895334808953348050423712671725206717252067172520671725208953348067172520671725208953348089533480166881657661260916241146369092612609162411183214266126091624108095572461260916241152231070612609162416711604901243302706application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-hdf5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-hdf5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-hdf5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-h5application/x-hdf5application/x-h5application/x-h5image/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiff3.0This dataset contains replication data for the article "From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging". It comprises 31 square regions of interest (ROIs, 4096 × 4096 px, 1.3 µm/px ≈ 5.3 mm), extracted from eight coronal sections of a healthy 2.4-year-old male vervet monkey brain at the level of the central sulcus. Section thickness is 60 µm. The dataset is divided into two subsets used for model training and testing in the article: <ul> <li>Training set ("train/"): 27 ROIs (0000–0026) with transmittance, retardation, direction, and affine-registered Cresyl violet.</li> <li>Test set ("test/"): 4 ROIs (0027–0030) with transmittance, retardation, direction, fiber orientation maps, and non-linearly registered Cresyl violet. Also includes full 3D-PLI sections and model predictions (see article).</li> </ul> Each ROI is stored in HDF5 format with: <ul> <li>Dataset "Image": float32 for transmittance, retardation, and direction; uint8 for Cresyl violet.</li> <li>Group "pyramid": down-sampled image levels.</li> <li>Attribute "origin": location of the ROI within the corresponding full section in physical coordinates.</li> </ul> Full sections are available as BigTIFF images with 8 pyramid levels (uint8). Transmittance and retardation were normalized to the range 0-255 for visualization. Please refer to the research article for detailed information on sample preparation, imaging, data processing, registration, model training, and model inference. This dataset can be used under licence <a href="ttps://creativecommons.org/licenses/by-nc-sa/4.0/">CC-BY-NC-SA</a>The reference to the related publication "From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging" will be added as soon as released.