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@PHDTHESIS{Wang:1012468,
      author       = {Wang, Jiayun},
      othercontributors = {Walter, Peter and Weis, Joachim},
      title        = {{A} workflow to visualize vertebrate eyes in 3{D}},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-05010},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, Rheinisch-Westfälische Technische
                      Hochschule Aachen, 2025},
      abstract     = {Purpose:To establish a workflow to visualize the surgical
                      anatomy in 3D based on histological data of eyes of
                      experimental animals for improving the planning of complex
                      surgical procedures.Methods: Four C57BL/6J wild-type(wt)
                      mouse eyes, three Brown Norway rat eyes and four Chinchilla
                      Bastard rabbit eyes were enucleated and processed for
                      standard histology with serial sections and hematoxylin and
                      eosin staining. Image stacks were processed to obtain a
                      representation of the eye anatomy in 3D. In addition,
                      virtual image stacks and 3D point clouds were generated by
                      processing sagittal sections of eyes with stepwise 180°
                      rotation and projection around the eye axis to construct a
                      rotationally symmetric 3D model from one single sagittal
                      section.ResultsSerial sections of whole eyes of mice, rats
                      and rabbits showed significant artifacts interfering with a
                      practical image stack generation and straightforward 3D
                      reconstruction despite the application of image registration
                      techniques. A workflow was established to obtain a 3D image
                      of the eye based on virtual image stacks and point cloud
                      generation by rotation of a single sagittal section of the
                      eye around the symmetry axis. By analyzing the tissue
                      shrinkage during histological processing true biometric
                      reconstructions of the eyes were feasible making the
                      resulting model usable for 3D modeling and simulation, e.g.
                      for planning of complex surgical procedures in different
                      species.Conclusion: Because serial sections of the eye with
                      standard histological protocols yielded too many artifacts
                      for a straightforward 3D visualization, we reconstructed a
                      pseudorealistic 3D model based on virtual image stacks and
                      point cloud generation calculated from a single sagittal
                      section of the eye. Such a model detailing microscopic
                      structures of the whole eye will allow for a specific
                      planning of surgical procedures in small animal eyes in
                      order to prevent surgical complications in a very early
                      stage of an experiment and it will support the design and
                      development of complex intraocular implants. It will
                      therefore be helpful in surgical teaching and improve
                      laboratory animal welfare by an expected reduction of
                      experimental animal numbers. Further processing including
                      integration of mechanical tissue properties is needed to
                      convert these 3D models into a practical virtual reality
                      teaching and simulation platform for eyes of several
                      species.},
      cin          = {536000-2 ; 938110},
      ddc          = {610},
      cid          = {$I:(DE-82)536000-2_20140620$},
      pnm          = {GRK 2610 - GRK 2610: Innovative Schnittstellen zur Retina
                      für optimiertes künstliches Sehen - InnoRetVision
                      (424556709)},
      pid          = {G:(GEPRIS)424556709},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-05010},
      url          = {https://publications.rwth-aachen.de/record/1012468},
}