TY  - CONF
AU  - Baumeister, Paul F.
AU  - Bangun, Arya
AU  - Clausen, Alexander
AU  - Weber, Dieter
TI  - Data Compression for Live Transmission Electron Microscopy
M1  - FZJ-2025-01916
PY  - 2024
AB  - 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.
T2  - Computational and Data Science Seminar
CY  - 10 Sep 2024 - 10 Sep 2024, Jülich (Germany)
Y2  - 10 Sep 2024 - 10 Sep 2024
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)31
UR  - https://juser.fz-juelich.de/record/1040542
ER  -