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Reconstructing porous structures from FIB-SEM image data: Optimizing sampling scheme and image processing

  • Nano-porous materials can be imaged spatially by focused ion beam scanning electron microscopy (FIB-SEM). This method generates a stack of SEM images that has to be segmented (or reconstructed) to serve as basis for structural characterization. To this end, we apply two state-of-the-art algorithms. We study the influence of the original image’s voxel size on estimates of morphological characteristics and effective permeabilities. Special attention is paid to analyzing anisotropies due to the FIB-SEM typical anisotropic sampling. Quantitative comparison of morphological descriptors and flow properties of reconstructed data is enabled by the use of synthetic FIB-SEM sets for which a ground truth is available. Moreover, in that case, reconstruction parameters can be chosen optimally, too.

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Author:Diego RoldánORCiD, Claudia RedenbachORCiD, Katja SchladitzORCiD, Matthias Klingele, Michael Godehardt
DOI:https://doi.org/10.1016/j.ultramic.2021.113291
Identifier:0304-3991 OPAC HS OPAC extern
Parent Title (English):Ultramicroscopy
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Date of Publication (online):2021/05/13
Year of first Publication:2021
Volume:Volume 226
Issue:July 2021
Article Number:113291
Institutes:Fakultät Maschinenbau
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften
Research focus:FSP2: Mobilität
Publication Lists:Klingele, Matthias
Publication reviewed:begutachtet
Release Date:2023/07/26
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