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@MISC{Clausen:888557,
      author       = {Clausen, Alexander and Weber, Dieter and Caron, Jan and
                      Nord, Magnus and Müller-Caspary, Knut and Ophus, Colin and
                      Dunin-Borkowski, Rafal and Ruzaeva, Karina and Chandra,
                      Rahul and Shin, Jaeweon and van Schyndel, Jay},
      title        = {{L}iber{TEM}/{L}iber{TEM}: 0.2.1},
      reportid     = {FZJ-2020-05021},
      series       = {LiberTEM: 0.2.1},
      year         = {2019},
      abstract     = {LiberTEM is an open source platform for high-throughput
                      distributed processing of large-scale binary data sets using
                      a simplified MapReduce programming model. The current focus
                      is pixelated scanning transmission electron microscopy
                      (STEM) and scanning electron beam diffraction data. It is
                      designed for high throughput and scalability on PCs, single
                      server nodes, clusters and cloud services. On clusters it
                      can use fast distributed local storage on high-performance
                      SSDs. That way it achieves very high aggregate IO
                      performance on a compact and cost-efficient system built
                      from stock components. LiberTEM is supported on Linux, Mac
                      OS X and Windows. Other platforms that allow installation of
                      Python 3 and the required packages will likely work as well.
                      The GUI is running in a web browser. InstallationThe short
                      version: $ virtualenv -p python3.6 ~/libertem-venv/ $ source
                      ~/libertem-venv/bin/activate (libertem) $ pip install
                      libertem[torch] Please see our documentation for details!
                      Deployment as a single-node system for a local user is
                      thoroughly tested and can be considered stable. Deployment
                      on a cluster is experimental and still requires some
                      additional work, see Issue #105. Applications Virtual
                      detectors (virtual bright field, virtual HAADF, center of
                      mass , custom shapes via masks) Analysis of amorphous
                      materials Strain mapping Custom analysis functions
                      (user-defined functions) Please see the applications section
                      of our documentation for details! The Python API and
                      user-defined functions (UDFs) can be used for more complex
                      operations with arbitrary masks and other features like data
                      export. There are example Jupyter notebooks available in the
                      examples directory. If you are having trouble running the
                      examples, please let us know, either by filing an issue or
                      by joining our Gitter chat. LiberTEM is suitable as a
                      high-performance processing backend for other applications,
                      including live data streams. Contact us if you are
                      interested! LiberTEM is evolving rapidly and prioritizes
                      features following user demand and contributions. In the
                      future we'd like to implement live acquisition, and more
                      analysis methods for all applications of pixelated STEM and
                      other large-scale detector data. If you like to influence
                      the direction this project is taking, or if you'd like to
                      contribute, please join our gitter chat and our general
                      mailing list. File formatsLiberTEM currently opens most file
                      formats used for pixelated STEM. See our general information
                      on loading data and format-specific documentation for more
                      information! Raw binary files Thermo Fisher EMPAD detector
                      files Quantum Detectors MIB format Nanomegas .blo block
                      files Gatan K2 IS raw format Gatan DM3 and DM4: See Issue
                      #291 Please contact us if you would like to process such
                      data! FRMS6 from PNDetector pnCCD cameras (currently alpha,
                      gain correction still needs UI changes) FEI SER files (via
                      openNCEM) HDF5-based formats such as Hyperspy files, NeXus
                      and EMD Please contact us if you are interested in support
                      for an additional format! LicenseLiberTEM is licensed under
                      GPLv3. The I/O parts are also available under the MIT
                      license, please see LICENSE files in the subdirectories for
                      details.},
      cin          = {ER-C-1 / ER-C-2},
      cid          = {I:(DE-Juel1)ER-C-1-20170209 / I:(DE-Juel1)ER-C-2-20170209},
      pnm          = {143 - Controlling Configuration-Based Phenomena (POF3-143)
                      / ESTEEM3 - Enabling Science and Technology through European
                      Electron Microscopy (823717)},
      pid          = {G:(DE-HGF)POF3-143 / G:(EU-Grant)823717},
      typ          = {PUB:(DE-HGF)33 / PUB:(DE-HGF)3},
      doi          = {10.5281/ZENODO.3474968},
      url          = {https://juser.fz-juelich.de/record/888557},
}