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Updated: Jan 11, 2026

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
Published on: March 20, 2018
On the use of advanced scanning transmission electron microscopy and machine learning for studying multi-component
Alexander S Eggeman1, Christian Maddox1, Mark A Buckingham1,2,3
1Department of Materials, University of Manchester, M13 9PL, UK. alexander.eggeman@manchester.ac.uk.
None:
The nanoscale distribution of elements in two multi-component materials is assessed by unsupervised machine learning methods. These are compared to elemental maps to highlight the potential shortcomings of simplistic compositional analyses. Quantification of the resulting microstructure components provides insight into the evolution of the microstructure and the possible reasons for misinterpretation of the traditional element maps.
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