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12 results

  • py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

  • Benjamin H. Savitzky, Steven E. Zeltmann, Lauren A. Hughes, Hamish G. Brown, Shiteng Zhao, Philipp M. Pelz, Thomas C. Pekin, Edward S. Barnard, Jennifer Donohue, Luis Rangel DaCosta, Ellis Kennedy, Yujun Xie, Matthew T. Janish, Matthew M. Schneider, Patrick Herring, Chirranjeevi Gopal, Abraham Anapolsky, Rohan Dhall, Karen C. Bustillo, Peter Ercius, Mary C. Scott, Jim Ciston, Andrew M. Minor, Colin Ophus
  • Journal:
    / Volume 27 / Issue 4 / August 2021
    Published online by Cambridge University Press:
    21 May 2021, pp. 712-743
    Print publication:
    August 2021
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      • Open access
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  • Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct electron detector, it is now possible to record a full two-dimensional (2D) image of the diffracted electron beam at each probe position, typically a 2D grid of probe positions. These 4D-STEM datasets are rich in information, including signatures of the local structure, orientation, deformation, electromagnetic fields, and other sample-dependent properties. However, extracting this information requires complex analysis pipelines that include data wrangling, calibration, analysis, and visualization, all while maintaining robustness against imaging distortions and artifacts. In this paper, we present py4DSTEM, an analysis toolkit for measuring material properties from 4D-STEM datasets, written in the Python language and released with an open-source license. We describe the algorithmic steps for dataset calibration and various 4D-STEM property measurements in detail and present results from several experimental datasets. We also implement a simple and universal file format appropriate for electron microscopy data in py4DSTEM, which uses the open-source HDF5 standard. We hope this tool will benefit the research community and help improve the standards for data and computational methods in electron microscopy, and we invite the community to contribute to this ongoing project.

  • Observing the Lithiation of M0S2

  • Shalini Tripathi, Matthew T. Janish, William M. Mook, Katherine L. Jungjohann, Avinash Dongare, C. Barry Carter
  • Journal:
    / Volume 24 / Issue S1 / August 2018
    Published online by Cambridge University Press:
    01 August 2018, pp. 1858-1859
    Print publication:
    August 2018
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  • Microscopy of the Deformation of Tantalum

  • Matthew T. Janish, Bill Mook, Shraddha J. Vachhani, Ellen Cerreta, C. Barry Carter
  • Journal:
    / Volume 22 / Issue S3 / July 2016
    Published online by Cambridge University Press:
    25 July 2016, pp. 1644-1645
    Print publication:
    July 2016
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  • Using TEMOperandoMethods to Understand Energy Storage

  • C. Barry Carter, Matthew T. Janish, Katherine L. Jungjohann, Grant Norton
  • Journal:
    / Volume 22 / Issue S3 / July 2016
    Published online by Cambridge University Press:
    25 July 2016, pp. 1320-1321
    Print publication:
    July 2016
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  • Observations on Heavily Deformed Tantalum

  • Matthew T. Janish, Paul G. Kotula, Brad L. Boyce, C. Barry Carter
  • Journal:
    / Volume 20 / Issue S3 / August 2014
    Published online by Cambridge University Press:
    27 August 2014, pp. 1082-1083
    Print publication:
    August 2014
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  • Heat Treatment of TiO2/SiO2 Electrospun Ceramic Fibers

  • Matthew T. Janish, Fei Huang, Aravind Suresh, Katherine L. Jungjohann, C. Barry Carter, Chris Cornelius
  • Journal:
    / Volume 20 / Issue S3 / August 2014
    Published online by Cambridge University Press:
    27 August 2014, pp. 1976-1977
    Print publication:
    August 2014
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