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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Characterization of Materials through High Resolution Imaging
Presentation Title Quantitative Data Analysis of Dynamic Tomography Data with Motion Artifacts
Author(s) Xianghui Xiao, Yang Yang, Zhenrui Xu, James Steiner, Yijin Liu, Feng Lin
On-Site Speaker (Planned) Xianghui Xiao
Abstract Scope X-ray tomography has been widely used in inspecting opaque objects’ structures nondestructively. With the bright light sources and advanced detector techniques, x-ray tomography can be used to detect rapid dynamic structure changes in samples under various stimulus conditions. However, the temporal resolution of the tomography technique has still been handicapped by the intrinsic limitations in the data acquisition speed and the lack of a suitable data processing method. In this talk, I will present a novel quantitative data analysis method that can tolerate the ‘imperfect’ tomography reconstruction data in which there are severe sample motion artifacts. An application in the drying film cases will be discussed in the presentation.
Proceedings Inclusion? Planned:
Keywords Characterization,

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Magnetic Correlations and Time Fluctuations in Assemblies of Fe3O4 Nanoparticles Probed via X-rays
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Mesoscale Defect Dynamics in the Bulk with Time-resolved Dark-field X-ray Microscopy
Microstructural Characterization and Mechanical Behavior of a Meteorite Using Correlative Microscopy
Multi-peak Phase Retrieval for Coherent X-ray Diffraction Imaging at High Energies
Near-surface Optical Characterisation of Ion Implantation in Titanium Oxide Thin Films
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Ptychographic Inversion with Deep Learning Network and Automatic Differentiation
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