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Pore Size Distribution

Pore Size Distribution

In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
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Related Experiment Video

Updated: Nov 6, 2025

Quantification and Size-profiling of Extracellular Vesicles Using Tunable Resistive Pulse Sensing

Quantification and Size-profiling of Extracellular Vesicles Using Tunable Resistive Pulse Sensing

Published on: October 19, 2014

Validating pore size estimates in a complex microfiber environment on a human MRI system.

Chu-Chung Huang^1,2, Chih-Chin Heather Hsu^3,4, Feng-Lei Zhou^5,6

¹Key Laboratory of Brain Functional Genomics (MOE & STCSM), Affiliated Mental Health Center (ECNU), Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.

Magnetic Resonance in Medicine

|May 7, 2021

Summary

This summary is machine-generated.

This study validates diffusion MRI techniques for measuring tissue microstructure. Biomimetic phantoms accurately estimate pore size and fiber orientation, showing good repeatability for in vivo applications.

Keywords:

crossing fiber diameter diffusion MRI electron microscopy microstructure phantom

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Last Updated: Nov 6, 2025

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Area of Science:

Biomedical Imaging
Materials Science
Neuroscience

Background:

Diffusion-weighted MRI (DW-MRI) offers advanced metrics like restricted diffusion signal fraction and pore size estimation.
Co-electrospun oriented hollow cylinders serve as phantoms for validating DW-MRI methods.
Current validation methods require more complex phantoms that mimic tissue microenvironments.

Purpose of the Study:

To assess the accuracy and repeatability of DW-MRI microstructure measurements using advanced phantoms.
To explore these metrics in substrates with non-circular cross-sections, fiber crossing, and varied pore sizes.
To validate methods on a human MRI scanner with parameters relevant to clinical studies.

Main Methods:

A biomimetic phantom with complex microstructural features was scanned using a 3T Connectom MRI system.
Diffusion data were acquired with multiple gradient directions and diffusion times, including repeated scans for repeatability assessment.
Spherical deconvolution estimated fiber populations; CHARMED and AxCaliber3D frameworks estimated pore size, compared with SEM.

Main Results:

Pore size (~5 micrometers) and orientation estimates showed excellent agreement with scanning electron microscopy (SEM) data.
Repeatability varied with substrate complexity, being lower in samples with crossing fibers.
Overall sample-level repeatability was found to be good.

Conclusions:

This study advances the validation of DW-MRI microstructure quantification in complex, tissue-mimicking configurations.
The findings support the use of these advanced DW-MRI techniques for in vivo microstructural analysis.
Further validation in more complex phantoms is warranted.