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  4. Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials
 
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Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials

Citation Link: https://doi.org/10.15480/336.5213
Type
Dataset
Date Issued
2023-06-27
Creator
Sardhara, Trushal orcid-logo
Continuum and Materials Mechanics M-15 
Shkurmanov, Alexander 
Betriebseinheit Elektronenmikroskopie M-26 
Li, Yong orcid-logo
Werkstoffphysik und -technologie M-22 
Shi, Shan 
Integrated metallic Nanomaterialssystems M-EXK4 
Cyron, Christian J. 
Continuum and Materials Mechanics M-15 
Aydin, Roland C. 
Helmholtz-Zentrum Hereon 
Ritter, Martin orcid-logo
Betriebseinheit Elektronenmikroskopie M-26 
DOI
10.15480/336.5213
TORE-URI
https://hdl.handle.net/11420/15485
License
https://creativecommons.org/licenses/by/4.0/
Abstract
This dataset contains synthetic structures of hierarchical nanoporous gold, which mimics real hierarchical nanoporous gold structures, segmentation results and repositioned interpolated structures of the real hierarchical nanoporous gold dataset and trained weights of machine learning model used for interpolation. For more information, please refer to the published research article: Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials.
Subjects
FIB-SEM tomography
Slice thickness determination
Slice repositioning
Accurate reconstruction
Image inpainting
Machine learning (ML)
DDC Class
620: Engineering
004: Computer Sciences
Funding(s)
SFB 986: Subproject B09 - Microstructure-based classification and mechanical analysis of nanoporous metals by machine learning 
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)
TUHH
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