https://doi.org/10.1140/epjp/s13360-025-06886-w
Regular Article
A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina
1
Department of Basic Sciences, Al Hussein Technical University, 11831, Amman, Jordan
2
Department of Physics, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia
Received:
24
June
2025
Accepted:
22
September
2025
Published online:
2
October
2025
In this study, a comprehensive and semi-automated model was proposed for the evaluation of average pore size in nanoporous alumina by combining Scanning Electron Microscopy (SEM), Mercury Intrusion Porosimetry (MIP), and computer vision techniques. A new model for the image processing of SEM was developed to obtain quantitative data that can be used to evaluate the average pore size. The results obtained from the model were compared with the results of MIP, and a good correlation was observed, and it verifies the reliability of the model. To the best of our knowledge, this is the first time when these three techniques were combined for the evaluation of pore size in alumina nanomaterials. The new approach is an accurate, efficient and non-destructive alternative to conventional pore characterization techniques.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
