Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

M Botifoll, I Pinto-Huguet, J Arbiol - Nanoscale Horizons, 2022 - pubs.rsc.org
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 …

AI-enabled Lorentz microscopy for quantitative imaging of nanoscale magnetic spin textures

ARC McCray, T Zhou, S Kandel… - npj Computational …, 2024 - nature.com
The manipulation and control of nanoscale magnetic spin textures are of rising interest as
they are potential foundational units in next-generation computing paradigms. Achieving this …

Early detection of nucleation events from solution in LC-TEM by machine learning

H Katsuno, Y Kimura, T Yamazaki, I Takigawa - Frontiers in Chemistry, 2022 - frontiersin.org
To support the detection, recording, and analysis of nucleation events during in situ
observations, we developed an early detection system for nucleation events observed using …

Enhancing performance of electron holography with mathematical and machine learning–based denoising techniques

S Anada, Y Nomura, K Yamamoto - Microscopy, 2023 - academic.oup.com
Electron holography is a useful tool for analyzing functional properties, such as
electromagnetic fields and strains of materials and devices. The performance of electron …

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 …

Accuracy improvement of phase estimation in electron holography using noise reduction methods

Y Midoh, K Nakamae - Microscopy, 2020 - academic.oup.com
We try to improve the limit of the phase estimation of the interference fringe at low electron
dose levels in electron holography by a noise reduction method. In this paper, we focus on …

Denoising of series electron holograms using tensor decomposition

Y Nomura, K Yamamoto, S Anada, T Hirayama… - …, 2021 - academic.oup.com
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 …

Fast improvement of TEM images with low-dose electrons by deep learning

H Katsuno, Y Kimura, T Yamazaki… - Microscopy and …, 2022 - academic.oup.com
Low electron dose observation is indispensable for observing various samples using a
transmission electron microscope; consequently, image processing has been used to …

Visualization of depletion layer in AlGaN homojunction p–n junction

K Nagata, S Anada, Y Saito, M Kushimoto… - Applied Physics …, 2022 - iopscience.iop.org
We analyzed the p–n junction of an aluminum gallium nitride (AlGaN) homojunction tunnel
junction (TJ) deep-ultraviolet light-emitting diode by phase-shifting electron holography. We …

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 …