Quantitative multi-image analysis in metals research

M. J. Demkowicz*, M. Liu, I. D. McCue, M. Seita, J. Stuckner, K. Xie

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Quantitative multi-image analysis (QMA) is the systematic extraction of new information and insight through the simultaneous analysis of multiple, related images. We present examples illustrating the potential for QMA to advance materials research in multi-image characterization, automatic feature identification, and discovery of novel processing-structure–property relationships. We conclude by discussing opportunities and challenges for continued advancement of QMA, including instrumentation development, uncertainty quantification, and automatic parsing of literature data. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish (US)
Pages (from-to)1030-1036
Number of pages7
JournalMRS Communications
Issue number6
StatePublished - Dec 2022

ASJC Scopus subject areas

  • General Materials Science


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