0604112 - ÚPT 2025 RIV FR eng C - Conference Paper (international conference)
Sikorová, Pavlína - Šlouf, Miroslav - Skoupý, Radim - Pavlova, Ewa - Krzyžánek, Vladislav
U-NET Enhanced 4D-STEM/PNBD: Advancing Microscopy Image Reconstruction.
BIO Web of Conferences. Vol. 129. Les Ulis: EDP Sciences, 2024 - (Qvortrup, K.; Weede, K.), č. článku 10045. E-ISSN 2117-4458.
[EMC 2024. European Microscopy Congress /17./. Copenhagen (DK), 25.08.2024-30.08.2024]
R&D Projects: GA TA ČR(CZ) TN02000020; GA ČR(CZ) GA21-13541S; GA MŠMT(CZ) LM2023050
Institutional support: RVO:68081731 ; RVO:61389013
Keywords : 4D-STEM-in-SEM * U-NET * 4D-STEM/PNBD * diffraction * denoising
OECD category: Electrical and electronic engineering; Polymer science (UMCH-V)
Result website:
https://www.bio-conferences.org/articles/bioconf/abs/2024/48/bioconf_emc2024_10045/bioconf_emc2024_10045.htmlDOI: https://doi.org/10.1051/bioconf/202412910045

The U-NAE has been proven effective on various challenging datasets, yet limitations arise in handling heavy noise levels, potentially leading to unsatisfactory results. Future efforts will prioritize optimizing the U-NAE architecture to address these challenges and explore alternative training strategies to enhance its performance. Incorporating domain-specific knowledge may further broaden its applicability in material science research. In addition, further work to refine the simulation of the target data could also improve model performance.
Permanent Link: https://hdl.handle.net/11104/0361458