AQUAMI: An open source Python package and GUI for the automatic quantitative analysis of morphologically complex multiphase materials

Micrographs of materials contain microstructural information that is quantifiable in principle, but difficult to extract in practice. We present Automatic QUantitative Analysis of Microscopy Images (AQUAMI): a Python package which can automatically analyze micrographs and extract quantitative inform...

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Bibliographic Details
Published inComputational materials science Vol. 139; no. C; pp. 320 - 329
Main Authors Stuckner, Joshua, Frei, Katherine, McCue, Ian, Demkowicz, Michael J., Murayama, Mitsuhiro
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.11.2017
Elsevier
Subjects
Image analysis
Microstructure
Software
Microstructure
Image analysis
Software
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Summary:Micrographs of materials contain microstructural information that is quantifiable in principle, but difficult to extract in practice. We present Automatic QUantitative Analysis of Microscopy Images (AQUAMI): a Python package which can automatically analyze micrographs and extract quantitative information to characterize microstructure features. This software package utilizes digital image analysis methods to perform many thousands of measurements on an image and reports information such as the mean feature dimensions, size distribution, and phase area fraction. Results are repeatable and can be directly compared between research groups. The results are robust against large changes in magnification, focus, illumination, and noise. We describe the working principle of the software and demonstrate it on micrographs of nanoporous and nanocomposite metals.
Bibliography:USDOE Office of Science (SC), Basic Energy Sciences (BES)
DE‐FG02‐06ER15786
ISSN:0927-0256
1879-0801
DOI:10.1016/j.commatsci.2017.08.012