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100+ datasets found
  1. 3DSEM Dataset

    Updated Apr 8, 2019
  2. H

    3DSEM: A Dataset for 3D SEM Surface Reconstruction

    bin, jpeg +3
    Updated Dec 9, 2015
  3. m

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

    Updated Oct 6, 2016
  4. w

    3DSEM: A 3D Microscopy Dataset

    Updated Nov 12, 2015
  5. n

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

    Updated Apr 24, 2019
  6. f

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

    Updated Nov 12, 2020
  7. P

    3D Platelet EM Dataset

  8. f

    Isotropic 3D electron microscopy reference data of killer T-Cell attacking...

    Updated Nov 12, 2020
  9. z

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

    fig, m, mat, txm, zip
    Updated Jan 31, 2021
  10. 4

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

    Updated Apr 20, 2022
  11. D

    3D Cryo-FIB SEM - Mallomonas Dataset

    Updated Dec 3, 2019
  12. o

    Data from: Development of protocols for the first serial block-face scanning...

  13. Dataset for: Development of protocols for the first serial block-face...

    Updated Sep 23, 2019
  14. f

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

    Updated Nov 12, 2020
  15. w

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

    Updated Dec 29, 2015
  16. Densities and 3D distributions of synapses using FIB/SEM imaging in the...

    Updated May 27, 2019
  17. CLEM/FIB-SEM Imaging of T Cells after the Formation of Signaling...

    Updated Jul 22, 2018
  18. z

    Investigating structural cardiac remodelling in Guinea pigs

    Updated Jun 27, 2019
  19. g

    Data from: Photo images, 3D/CT data and mtDNA of the freshwater mussels...

    • +1more
    Updated Aug 31, 2021
  20. 3D EBSD Dataset of the Alpha and Beta Phase Orientations for a Hot-Rolled...

    Updated May 5, 2020
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Harvard Dataverse (2015). 3DSEM: A Dataset for 3D SEM Surface Reconstruction [Dataset].

3DSEM: A Dataset for 3D SEM Surface Reconstruction

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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