Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Advanced Characterization Techniques for Sulfide‐Based Solid‐State Lithium Batteries
Y Nomura, K Yamamoto - Advanced Energy Materials, 2023 - Wiley Online Library
Solid‐state lithium batteries with sulfide solid electrolytes have attracted extensive attention
as next‐generation secondary batteries with high energy and power densities because …
as next‐generation secondary batteries with high energy and power densities because …
Noise reduction of electron holography observations for a thin-foiled Nd-Fe-B specimen using the wavelet hidden Markov model
S Lee, Y Midoh, Y Tomita, T Tamaoka, M Auchi… - Applied …, 2024 - Springer
In this study, we investigate the effectiveness of noise reduction in electron holography,
based on the wavelet hidden Markov model (WHMM), which allows the reasonable …
based on the wavelet hidden Markov model (WHMM), which allows the reasonable …
Denoising of series electron holograms using tensor decomposition
In this study, a noise-reduction technique for series low-dose electron holograms using
tensor decomposition is demonstrated through simulation. We treated an entire dataset of …
tensor decomposition is demonstrated through simulation. We treated an entire dataset of …
Phase-shifting electron holography for accurate measurement of potential distributions in organic and inorganic semiconductors
K Yamamoto, S Anada, T Sato, N Yoshimoto… - …, 2021 - academic.oup.com
Phase-shifting electron holography (PS-EH) is an interference transmission electron
microscopy technique that accurately visualizes potential distributions in functional …
microscopy technique that accurately visualizes potential distributions in functional …
[HTML][HTML] Denoising electron holograms using the wavelet hidden Markov model for phase retrieval—Applications to the phase-shifting method
T Tamaoka, Y Midoh, K Yamamoto, S Aritomi… - AIP Advances, 2021 - pubs.aip.org
Noise reduction using the wavelet hidden Markov model (WHMM) was applied to electron
holograms of a LaFeO 3/SrTiO 3 specimen, which was subjected to phase retrieval by the …
holograms of a LaFeO 3/SrTiO 3 specimen, which was subjected to phase retrieval by the …
Enhancing performance of electron holography with mathematical and machine learning–based denoising techniques
Electron holography is a useful tool for analyzing functional properties, such as
electromagnetic fields and strains of materials and devices. The performance of electron …
electromagnetic fields and strains of materials and devices. The performance of electron …
Computational evaluation of sparse coding on off-axis electron holograms: comparison between charge-coupled device and direct-detection device cameras
The effectiveness of sparse coding for image inpainting and denoising of off-axis electron
holograms was examined computationally based on hologram simulations according to …
holograms was examined computationally based on hologram simulations according to …
Direct visualization of the photovoltaic effect in a single-junction GaAs cell via in situ electron holography
S Anada, T Hirayama, H Sasaki… - Journal of Applied …, 2020 - pubs.aip.org
The nanoscale electric potential distribution in a gallium arsenide single p–n junction cell
under artificial illumination, or the photovoltaic (PV) effect, was investigated using in situ …
under artificial illumination, or the photovoltaic (PV) effect, was investigated using in situ …