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Shadow Montage and Cone-Beam Reconstruction in 4D-STEM Tomography.

Shahar Seifer1, Lothar Houben2, Michael Elbaum1

  • 1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 76100, Israel.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|January 14, 2026
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Summary

Scanning transmission electron microscopy (STEM) generates shadow images for efficient, upscaled bright-field imaging. This novel method enables 3D reconstruction from single datasets, overcoming depth-of-field limitations in tomography.

Keywords:
4D STEMcone-beam reconstructioncryoEMmultislicetomography

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Area of Science:

  • Materials Science
  • Electron Microscopy
  • Computational Imaging

Background:

  • Scanning transmission electron microscopy (STEM) utilizes diffraction images for real-space sample projections.
  • 4D-STEM setups with pixelated detectors can acquire these images in patches.
  • Conventional bright-field imaging in TEM/STEM has limitations in speed and depth-of-field.

Purpose of the Study:

  • To develop an efficient method for generating upscaled bright-field images from STEM data.
  • To demonstrate the capability of creating 3D shadow volumes and enabling tilt tomography.
  • To overcome the parallel-projection assumption in tomography regarding specimen thickness.

Main Methods:

  • Acquiring STEM diffraction images patch by patch with a pixelated detector.
  • Assembling these shadow images into a montage for upscaled bright-field rendering.
  • Synchronizing shadow patch overlaps to reconstruct 3D shadow volumes and perform tilt tomography.

Main Results:

  • Achieved efficient, upscaled bright-field imaging comparable to tilt-corrected images.
  • Demonstrated equivalence to cone-beam reconstruction under specific conditions.
  • Rendered 3D shadow volumes from single datasets, enabling full back-projection reconstruction via tilt tomography.

Conclusions:

  • The developed STEM shadow imaging technique provides an efficient alternative for bright-field imaging.
  • This method allows for 3D reconstruction and circumvents traditional tomography limitations.
  • The approach is robust against energy loss and chromatic aberration, similar to STEM techniques.