Advanced Electron Microscopy Image Processing for Analyzing Amorphous Alloys: Electron Microscopy Image Cluster Analyzer (EMICA). Tool and Results
- Authors: Sileshi D.1, Pustovalo E.V.1, Fedorets A.N.1
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Affiliations:
- Far Eastern Federal University
- Issue: Vol 11, No 1 (2024)
- Pages: 104-111
- Section: MATHEMATICAL AND SOFTWARE OF COMPUTЕRS, COMPLEXES AND COMPUTER NETWORKS
- URL: https://journals.eco-vector.com/2313-223X/article/view/631295
- DOI: https://doi.org/10.33693/2313-223X-2024-11-1-104-111
- ID: 631295
Cite item
Abstract
This article unveils EMICA, a Python-based software tool revolutionizing electron microscopy image processing for amorphous alloys. EMICA addresses the unique challenges posed by these materials, which lack long-range order, by providing specialized capabilities for cluster analysis and spatial pattern recognition. This research explored software tool development and application through illustrative examples, answering the key question of how they enhance amorphous alloy analysis. By integrating advanced image processing techniques and algorithms, EMICA uncovers hidden patterns, offering quantitative insights into cluster distributions. The key message emphasizes the application’s transformative impact on material science research, providing a specialized solution for electron microscopy image analysis in the amorphous alloy domain. Our key findings, presented through real-world examples and case studies, attest to the efficacy of the software in revealing nuanced details of amorphous alloy structures. From identifying subtle variations in atomic configurations to quantifying cluster distributions, EMICA represents a significant leap forward in the field of advanced electron microscopy image processing, contributing significantly to the advancement of this domain.
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About the authors
Dilla Dagim Sileshi
Far Eastern Federal University
Author for correspondence.
Email: dilla.d@dvfu.ru
ORCID iD: 0000-0002-9100-1257
PhD student, Institute of Mathematics and Computer Technologies, research engineer, Electron Microscopy and Imaging Laboratory
Russian Federation, VladivostokEvgeniy V. Pustovalo
Far Eastern Federal University
Email: pustovalov.ev@dvfu.ru
ORCID iD: 0000-0003-1036-3975
Dr. Sci. (Phys.-Math.), Professor, Department of Information and Computer Systems, Institute of Mathematics and Computer Technologies, Head of the educational program 09.03.02 “Information systems and technologies”, profile “Programming of robotic systems”
Russian Federation, VladivostokAlexander N. Fedorets
Far Eastern Federal University
Email: fedorec.an@dvfu.ru
ORCID iD: 0000-0001-9007-3171
senior lecturer, Department of Information and Computer Systems, Institute of Mathematics and Computer Technologie
Russian Federation, VladivostokReferences
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