Talk (non-conference) (Other)

FZJ-2025-01916

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Data Compression for Live Transmission Electron Microscopy

Baumeister, P. F. (Corresponding author)FZJ* ; Bangun, A.FZJ* ; Clausen, A.FZJ* ; Weber, D.FZJ*

2024

Abstract: Scanning Transmission Electron Microscopy (STEM) has become a powerful imaging technique with resolutions enabling to spot single atoms. STEM devices produce vast data volumes while scanning the probe, so there a need for both, fast processing pipelines and data compression. We present an innovative technique to compress and post-process STEM images on-the-fly providing visual feedback to the scientist operating the microscope. An essential ingredient to this are harmonic function sets allowing to avoid several Fourier transforms in the post-processing pipeline completely. Furthermore, transformation of images into the representation in harmonic functions can be as efficient as matrix-matrix-multiplications on the GPU.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. Datenanalyse und Maschinenlernen (IAS-8)
3. Physik Nanoskaliger Systeme (ER-C-1)
4. ER-C 2.0 (ER-C)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

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