• Title of article

    Fabrication approaches for the creation of physical models from microscopy data

  • Author/Authors

    Eliceiri, Kevin W. Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Cox, Benjamin L. Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Schumacher, Nathan Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Konieczny, John Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Reifschneider, Issac Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Mackie, Thomas R. Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA , Otegui, Marisa S. Laboratory for Optical and Computational Instrumentation - University of Wisconsin –Madison - Observatory Drive - Madison - WI , USA

  • Pages
    7
  • From page
    1
  • To page
    7
  • Abstract
    Three-dimensional (3D) printing has become a useful method of fabrication for many clinical applications. It is also a technique that is becoming increasingly accessible, as the price of the necessary tools and supplies decline. One emerging, and unreported, application for 3D printing is to aid in the visualization of 3D imaging data by creating physical models of select structures of interest. Methods: Presented here are three physical models that were fabricated from three different 3D microscopy datasets. Different methods of fabrication and imaging techniques were used in each case. Results: Each model is presented in detail. This includes the imaging modality used to capture the raw data, the software used to create any computer models and the 3D printing tools used to create each model. Despite the differences in their creation, these examples follow a simple common workflow that is also detailed. Conclusions: Following these approaches, one can easily make 3D printed models from 3D microscopy datasets utilizing off the shelf commercially available software and hardware.
  • Keywords
    3D-visualization , Instructional models , 3D-imaging , Microscopy , 3D-printing
  • Journal title
    3D Printing in Medicine
  • Serial Year
    2017
  • Record number

    2617671