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Nanomaterial datasets to advance tomography in scanning transmission electron microscopy

Journal Article · · Scientific Data
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [4];  [7];  [8];  [8];  [9];  [10];  [10];  [8];  [7];  [11];  [4];  [11];  [1]
  1. Cornell Univ., Ithaca, NY (United States). School of Applied and Engineering Physics
  2. Univ. of California, Los Angeles, CA (United States). Dept. of Physics and Astronomy, California NanoSystems Inst.; National Sun Yat-SEn Univ., Kaohsiung (Taiwan). Dept. of Physics
  3. Univ. of California, Los Angeles, CA (United States). Dept. of Physics and Astronomy, California NanoSystems Inst.; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Center for Electron Microscopy
  4. Univ. of California, Los Angeles, CA (United States). Dept. of Physics and Astronomy, California NanoSystems Inst.
  5. Univ. of Birmingham (United Kingdom). Nanoscale Physics Research Lab.
  6. Cornell Univ., Ithaca, NY (United States). Dept. of Physics
  7. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Center for Electron Microscopy
  8. Cornell Univ., Ithaca, NY (United States). Dept. of Materials Science and Engineering
  9. Cornell Univ., Ithaca, NY (United States). Dept. of Chemistry and Chemical Biology; Huazhong Univ. of Science and Technology, Wuhan (China). School of Chemistry and Chemical Engineering
  10. Cornell Univ., Ithaca, NY (United States). Dept. of Chemistry and Chemical Biology
  11. Cornell Univ., Ithaca, NY (United States). School of Applied and Engineering Physics, Kavli Inst. for Nanoscale Science
Electron tomography in materials science has flourished with the demand to characterize nanoscale materials in three dimensions (3D). Access to experimental data is vital for developing and validating reconstruction methods that improve resolution and reduce radiation dose requirements. This work presents five high-quality scanning transmission electron microscope (STEM) tomography datasets in order to address the critical need for open access data in this field. The datasets represent the current limits of experimental technique, are of high quality, and contain materials with structural complexity. Included are tomographic series of a hyperbranched Co 2 P nanocrystal, platinum nanoparticles on a carbon nanofibre imaged over the complete 180° tilt range, a platinum nanoparticle and a tungsten needle both imaged at atomic resolution by equal slope tomography, and a through-focal tilt series of PtCu nanoparticles. A volumetric reconstruction from every dataset is provided for comparison and development of post-processing and visualization techniques. Researchers interested in creating novel data processing and reconstruction algorithms will now have access to state of the art experimental test data.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1379388
Journal Information:
Scientific Data, Journal Name: Scientific Data Vol. 3; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (11)

Controlled Synthesis of Uniform Cobalt Phosphide Hyperbranched Nanocrystals Using Tri- n -octylphosphine Oxide as a Phosphorus Source journal January 2011
Visualization of the effect of additives on the nanostructures of individual bio-inspired calcite crystals journal January 2019
Multimodal x-ray and electron microscopy of the Allende meteorite journal September 2019
Multiscale higher-order TV operators for L1 regularization journal October 2018
Approaches to Exploring Spatio-Temporal Surface Dynamics in Nanoparticles with In Situ Transmission Electron Microscopy journal December 2019
Tutorial on the Visualization of Volumetric Data Using tomviz journal January 2018
Quantitative characterization of high temperature oxidation using electron tomography and energy-dispersive X-ray spectroscopy journal July 2018
Towards a classification strategy for complex nanostructures journal January 2017
A quantitative methodology for the study of particle–electrode impacts journal January 2018
Exploring the Capability of HAADF-STEM Techniques to Characterize Graphene Distribution in Nanocomposites by Simulations journal December 2018
Electron tomography for functional nanomaterials journal April 2020


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