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

Joshua Stuckner, Katherine Frei, Ian McCue, Michael J. Demkowicz, Mitsuhiro Murayama

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)320-329
Number of pages10
JournalComputational Materials Science
Volume139
DOIs
Publication statusPublished - Nov 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Chemistry(all)
  • Materials Science(all)
  • Mechanics of Materials
  • Physics and Astronomy(all)
  • Computational Mathematics

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