Towards an Accurate 3D Reconstruction of Nano-porous Structures using FIB Tomography and Monte Carlo Simulations with Machine Learning-Reference-Cited by-同舟云学术

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Towards an Accurate 3D Reconstruction of Nano-porous Structures using FIB Tomography and Monte Carlo Simulations with Machine Learning

Published:2023-07-22 Issue:Supplement_1 Volume:29 Page:545-546
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Sardhara Trushal¹,Shkurmanov Alexander²,Aydin Roland³,Cyron Christian J¹³,Ritter Martin²

Affiliation:

1. Institute for Continuum and Material Mechanics, Hamburg University of Technology , Germany

2. Electron Microscopy Unit, Hamburg University of Technology , Germany

3. Helmholtz-Zentrum Hereon, Institute of Material Systems Modeling , Geesthacht , Germany

Publisher

Oxford University Press (OUP)

Subject

Instrumentation

Link

https://academic.oup.com/mam/article-pdf/29/Supplement_1/545/50933021/ozad067.257.pdf

Reference5 articles.

1. libMCXray: A Monte Carlo Simulator for Signal Analysis inside Dragonfly Software

2. Morphological segmentation of FIB-SEM data of highly porous media

3. Slice Thickness Optimization for the Focused Ion Beam-Scanning Electron Microscopy 3D Tomography of Hierarchical Nanoporous Gold

4. Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data

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