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4DSTEM Mega Navigator

4DSTEM Mega Navigator
(A freeware 4D navigator for 4D-STEM data analysis)

last update: 31.03.2026

Ver. 0.1.2 Download link :

Manual :


Highlights (new features are marked in red):

  • No installation required (portable) – just unzip the file (download link above) and double click the run.bat file.
  • Supported formats:
    • Zarr (.zarr folder)
    • NumPy Compressed (.npz)
    • NumPy Array (.npy)
    • NanoMEGAS Blockfile (.blo)
    • Dectris Arina (.h5)
  • File conversion:
    • Merlin MIB (.mib) files to Zarr folder
    • TFS Velox MRC files (.mrc+.xml) to Zarr folder
  • Build virtual apertures: BF, ADF, HAADF, Bragg & Bragg grid.
  • Strain (µProbe) mapping analysis. REMARK: Not fully tested – use with care !!!
  • COM & DPC/iDPC analysis. REMARK: Not fully tested – use with care !!!
  • Manual Navigator (nm/px) and DP (nm-1/px) calibration.
  • Semi-automatic central-beam (CB) alignment.
  • Zoom to region of interest (ROI).
  • Change the color maps (cmap) of the Navigator and the DP.
  • Includes two folders with examples of 4DSTEM datasets (synthetic & real data).
  • Sub-pixel movement of the detectors and the bragg discs.
  • Scalebars added for calibrated Navigator and Diffraction.
  • File saving with and without overlays.
  • New tab for selecting and cropping the large dataset + saving the reduced dataset as Zarr or NPZ.

Future Features:

  • Support for more file formats and file conversions.

    • and more …


Software Libraries Used in 4D-STEM Mega Navigator:

The following external libraries were used in the development of the 4D-STEM Mega Navigator.

Core Scientific Libraries:

Large-Scale Data Processing and 4D-STEM Libraries:

  • LiberTEM – Clausen, A. et al. (2020). LiberTEM: Software platform for scalable multidimensional data processing in transmission electron microscopy. Journal of Open Source Software, 5(50), 2006. https://doi.org/10.21105/joss.02006
  • Dask – Rocklin, M. (2015). Dask: Parallel computation with blocked algorithms and task scheduling. Proceedings of the 4th Python in Science Conference. https://doi.org/10.25080/Majora-7b98e3ed-013
  • Zarr – Zarr Developers. Zarr: An implementation of chunked, compressed, N-dimensional arrays for Python. Software available at https://zarr.dev
  • Numcodecs (Blosc compression) – numcodecs Developers. numcodecs: A Python package providing buffer compression and transformation codecs. Available at https://numcodecs.readthedocs.io
  • Quantem – quantem Developers. quantem: Electron microscopy data handling tools for Python. Available at https://github.com/electronmicroscopy/quantem

Graphical User Interface Framework:

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