A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina

Ahmed Al-Saudi; Abdulaziz Aljalal

doi:10.1140/epjp/s13360-025-06886-w

A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina

Ahmed Al-Saudi^*
, Abdulaziz Aljalal

^*Corresponding author for this work

Department of Physics

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	947
Journal	European Physical Journal Plus
Volume	140
Issue number	10
DOIs	https://doi.org/10.1140/epjp/s13360-025-06886-w
State	Published - Oct 2025

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025.

ASJC Scopus subject areas

General Physics and Astronomy
Fluid Flow and Transfer Processes

Access to Document

10.1140/epjp/s13360-025-06886-w

Cite this

@article{c1670014be3f4a1ba91482fb1b1224d8,

title = "A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina",

abstract = "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.",

author = "Ahmed Al-Saudi and Abdulaziz Aljalal",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Societ{\`a} Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025.",

year = "2025",

month = oct,

doi = "10.1140/epjp/s13360-025-06886-w",

language = "English",

volume = "140",

journal = "European Physical Journal Plus",

issn = "2190-5444",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "10",

}

TY - JOUR

T1 - A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina

AU - Al-Saudi, Ahmed

AU - Aljalal, Abdulaziz

N1 - Publisher Copyright: © The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025.

PY - 2025/10

Y1 - 2025/10

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105018024853

U2 - 10.1140/epjp/s13360-025-06886-w

DO - 10.1140/epjp/s13360-025-06886-w

M3 - Article

AN - SCOPUS:105018024853

SN - 2190-5444

VL - 140

JO - European Physical Journal Plus

JF - European Physical Journal Plus

IS - 10

M1 - 947

ER -

A hybrid SEM–MIP–and computer vision model for a non-destructive pore size evaluation in nanoporous alumina

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this