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100+ datasets found
  1. H

    3DSEM: A Dataset for 3D SEM Surface Reconstruction

    bin, jpeg +3
    Updated Dec 9, 2015
  2. 3DSEM Dataset

    Updated Apr 8, 2019
  3. w

    3DSEM: A 3D Microscopy Dataset

    Updated Nov 12, 2015
  4. m

    Data from: A large dataset of synthetic SEM images of powder materials and...

    • +1more
    Updated Oct 6, 2016
  5. D

    3D Cryo-FIB SEM - Mallomonas Dataset

    Updated Dec 3, 2019
  6. n

    Intra-axonal Space Segmentation from 3D Scanning Electron Microscopy (SEM)...

    Updated Nov 9, 2022
  7. P

    3D Platelet EM Dataset

  8. z

    X-ray computed tomography and scanning electron microscopy datasets of...

    fig, m, mat, txm, zip
    Updated Jan 31, 2021
  9. f

    Isotropic 3D electron microscopy reference data of mouse choroid plexus...

    Updated Nov 12, 2020
  10. f

    Isotropic 3D electron microscopy reference data of wild-type, interphase...

    Updated Nov 12, 2020
  11. z

    3D EBSD Dataset of the Alpha and Beta Phase Orientations for a Hot-Rolled...

    Updated May 5, 2020
  12. 4

    Data underlying the publication: Integrated Array Tomography for 3D...

    Updated Sep 5, 2022
  13. z

    Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura...

    • +1more
    pdf, txt, zip
    Updated Mar 5, 2021
  14. Data from: Photo images, 3D/CT data and mtDNA of the freshwater mussels...

    Updated Aug 31, 2021
  15. Limeseg Test Datasets

    Updated Oct 27, 2018
  16. c

    Multiple serial sectional inclusion SEM analysis of a ladle sample and a...

    Updated Aug 18, 2021
  17. w

    Insights to Geothermal Subsurface Processes From Core at Steamboat Springs,...

    Updated Dec 4, 2017
  18. Densities and 3D distributions of synapses using FIB/SEM imaging in the...

    Updated Mar 6, 2020
  19. Densities and 3D distributions of synapses using FIB/SEM imaging in the...

    Updated May 27, 2019
  20. z

    Investigating structural cardiac remodelling in Guinea pigs

    Updated Jun 27, 2019
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Harvard Dataverse (2015). 3DSEM: A Dataset for 3D SEM Surface Reconstruction [Dataset].

3DSEM: A Dataset for 3D SEM Surface Reconstruction

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2 scholarly articles cite this dataset (View in Google Scholar)
jpeg(2383693), txt(322), jpeg(154629), tiff(4922346), jpeg(153720), bin(98051), jpeg(2397773), text/plain; charset=us-ascii(573550), text/plain; charset=us-ascii(21505), text/plain; charset=us-ascii(220100), jpeg(154513), txt(358), txt(282), jpeg(2349750), jpeg(2326808), jpeg(154971), txt(305), jpeg(2381214)Available download formats
Dataset updated
Dec 9, 2015
Dataset provided by
Harvard Dataverse

CC0 1.0 Universal Public Domain Dedication
License information was derived automatically


The Scanning Electron Microscope (SEM) as 2D imaging instrument has been widely used in biological, mechanical, and materials sciences to determine the surface attributes (e.g., compositions or geometries) of microscopic specimens. A SEM offers an excellent capability to overcome the limitation of human eyes by achieving increased magnification, contrast, and resolution greater than 1 nanometer. However, SEM micrographs still remain two-dimensional (2D). Having truly three-dimensional (3D) shapes from SEM micrographs would provide anatomic surfaces allowing for quantitative measurements and informative visualization of the objects being investigated. In biology, for example, 3D SEM surface reconstructions would enable researchers to investigate surface characteristics and recognize roughness, flatness, and waviness of a biological structure. There are also various applications in material and mechanical engineering in which 3D representations of material properties would allow us to accurately measure a fractal dimension and surface roughness and design a micro article which needs to fit into a tiny appliance. 3D SEM surface reconstruction employs several computational technologies, such as multi-view geometry, computer vision, optimization strategies, and machine learning to tackle the inverse problem going from 2D to 3D. In this contribution, an attempt is made to provide a 3D microscopy dataset along with the underlying algorithms publicly and freely available at for the research community.

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