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STEMax_PF: accurate and fast peak-finding for atom quantitative analysis

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Microstructures 2025;5:[Accepted].
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Abstract

Aberration-Corrected Scanning Transmission Electron Microscopy (AC-STEM) offers sub-ångström resolution and has become the most microscopic and advanced tool in the field of materials science, yet its quantitative image analysis has been constrained by high computational demands, uneven background illumination, and challenges in resolving overlapping point spread functions (PSFs). In this work, we introduce STEMax_PF, a novel software tool that integrates and improves multiple advanced techniques—including an adaptive threshold-enhanced centroid method, rapid normalized cross-correlation for detecting light atoms, and an improved weighted overdetermined regression algorithm—to effectively address these issues. In the two-dimensional Gaussian fitting process, STEMax_PF adopts a unique strategy by individually estimating the initial fitting parameters for each atomic column using several approaches, ensuring accurate fitting for materials comprising any elements. The integration of these methods dramatically reduces computational resource usage and enables extremely fast processing Furthermore, STEMax_PF is universally applicable to any crystal structure and STEM image format, paving the way for reliable quantitative atomic analysis and its connection to phenomena such as ferroelectric polarization, piezoelectric/dielectric responses, and electron-phonon interactions.

Keywords

STEM, peak finding, quantitative atomic analysis

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Zhao Z, Qu W, Yang Y, Peng G, Zhou X, Song T, Zhang Y, Guo S, Li F, Ding X, Sun J,  Wu H. STEMax_PF: accurate and fast peak-finding for atom quantitative analysis. Microstructures 2025;5:[Accept]. http://dx.doi.org/10.20517/microstructures.2025.29

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© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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ISSN 2770-2995 (Online)

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