Journal Article

FZJ-2020-03023

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png FIB/SEM Tomography Segmentation by Optical Flow Estimation

Moroni, R. ; Thiele, S. (Corresponding author)FZJ*

2020
Elsevier Science Amsterdam

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/25945  doi:10.1016/j.ultramic.2020.113090

Abstract: Focused ion beam/scanning electron microscopy tomography (FIB/SEM tomography) is the method of choice for the tomographic reconstruction of mesoporous materials systems in various fields such as batteries, fuel cells, filter applications or composite materials. However, due to so called shine-through artifacts in FIB/SEM tomographies of porous materials, their segmentation into pore space and solid material is a nontrivial task. Here, an optical flow-based method that utilizes shine-through artifacts for segmentation is introduced. Subsequently, the performance of the method is discussed by means of tomographic datasets of a polymer electrolyte fuel cell catalyst layer and a lithium ion battery composite electrode. Previous, manual segmentations of these datasets allow the evaluation of the results – for the catalyst layer an accuracy of 86.6 % and a precision of 84.0 % is reached. In both cases, the optical flow-based approach gives significantly better results than comparable segmentations obtained from gray-value threshold binarization.

---

Contributing Institute(s):

1. Helmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien (IEK-11)

Research Program(s):

1. 113 - Methods and Concepts for Material Development (POF3-113) (POF3-113)

Appears in the scientific report 2020

---

Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

---