☆ 4.4 Article

Novel image processing method inspired by wavelet transform

MICRON (2023)

Non-negative matrix factorization for mining big data obtained using four-dimensional scanning transmission electron microscopy

Fumihiko Uesugi et al.

Summary: The study explores the application of the combination of 4D-STEM and NMF techniques in material characterization, demonstrating the potential and practicality through the analysis of titanium oxide nanosheets to deduce different diffraction patterns. This combination is expected to become a standard characterization technique for a wide range of materials.

ULTRAMICROSCOPY (2021)

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Article Materials Science, Multidisciplinary

py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

Benjamin H. Savitzky et al.

Summary: STEM enables imaging, diffraction, and spectroscopy of materials at various length scales, producing rich 4D-STEM datasets. The py4DSTEM analysis toolkit, written in Python, aims to extract material properties through complex analysis pipelines, with the goal of improving standards in electron microscopy data and methods.

MICROSCOPY AND MICROANALYSIS (2021)

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Article Microscopy