Work Description

Title: X-ray tomography dataset for 'Caught in the act: The mechanism of eutectic modification by trace impurities' Open Access Deposited

h
Attribute Value
Methodology
  • The data file contains X-ray projection images collected at the Advanced Photon Source in Argonne National Laboratory (Argonne, IL). Pre-processing of data involved extraction and reconstruction of projection images from the .hdf raw data file using TomoPy toolbox in Python. Then, computer vision algorithms were developed in MATLAB to process (segment) the images followed by 3D visualization and quantitative analysis.
Description
  • The data file is comprised of 22,500 X-ray projections (15 scans of 1500 projections each) recorded during solidification of Al-Ge-Na. The raw data file is in .hdf format and can be reconstructed into .tiff, e.g., by using the TomoPy toolbox in Python.
Creator
Depositor
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • University of Michigan College of Engineering, University of Michigan Rackham Graduate Student Research Grant
ORSP grant number
  • 103049
Keyword
Citations to related material
Resource type
Last modified
  • 04/27/2020
Published
  • 04/26/2018
Language
DOI
  • https://doi.org/10.7302/Z2154F89
License
To Cite this Work:
Moniri, S., Xiao, X., Shahani, A. J. (2018). X-ray tomography dataset for 'Caught in the act: The mechanism of eutectic modification by trace impurities' [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/Z2154F89

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Files (Count: 3; Size: 68.7 GB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
ReadMe_Moniri_XRT.pdf 2018-04-26 2018-04-26 85.4 KB Open Access
XRT_liquid_phase_2018.hdf 2018-04-26 2018-12-21 4.3 GB Open Access
XRT_2018.hdf 2018-04-26 2018-12-21 64.4 GB Open Access

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