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Quantitative multi-image analysis in metals research.

ABSTRACT: 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.

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Supplementary information

The online version contains supplementary material available at 10.1557/s43579-022-00265-7.

SUBMITTER: Demkowicz MJ 

PROVIDER: S-EPMC9718709 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Quantitative multi-image analysis in metals research.

Demkowicz M J MJ   Liu M M   McCue I D ID   Seita M M   Stuckner J J   Xie K K  

MRS communications 20221014 6

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 de  ...[more]

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