%0 Conference Paper
%A Baumeister, Paul F.
%A Bangun, Arya
%A Clausen, Alexander
%A Weber, Dieter
%T Data Compression for Live Transmission Electron Microscopy
%M FZJ-2025-01916
%D 2024
%X 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.
%B Computational and Data Science Seminar
%C 10 Sep 2024 - 10 Sep 2024, Jülich (Germany)
Y2 10 Sep 2024 - 10 Sep 2024
M2 Jülich, Germany
%F PUB:(DE-HGF)31
%9 Talk (non-conference)
%U https://juser.fz-juelich.de/record/1040542