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Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples

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Published on: March 26, 2021

Reconstructing porous structures from FIB-SEM image data: Optimizing sampling scheme and image processing.

Diego Roldán¹, Claudia Redenbach², Katja Schladitz³

¹Fraunhofer-Institut für Techno- und Wrtschaftsmathematik - ITWM, 67663, Kaiserslautern, Germany; Technische Universität Kaiserslautern, 67663, Kaiserslautern, Germany; South Colombian University, Pastrana Borrero Avenue-1, 410001, Neiva, Colombia.

Ultramicroscopy

|May 21, 2021

Summary

This summary is machine-generated.

This study evaluates image reconstruction algorithms for nano-porous materials imaged with focused ion beam scanning electron microscopy (FIB-SEM). Results show voxel size and anisotropic sampling significantly impact material characterization and permeability predictions.

Keywords:

3D imaging Anisotropy Boolean model Coarsening Focused ion beam Microstructure characterization Permeability Porous media Scanning electron microscopy

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Published on: February 11, 2022

Area of Science:

Materials Science
Image Analysis
Computational Modeling

Background:

Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) generates 3D image data of nano-porous materials.
Image segmentation and reconstruction are crucial for structural and property analysis.
Anisotropic sampling in FIB-SEM data can introduce biases.

Purpose of the Study:

To assess the impact of voxel size on morphological characteristics and effective permeability estimations.
To analyze the influence of anisotropic sampling inherent to FIB-SEM.
To compare the performance of state-of-the-art reconstruction algorithms.

Main Methods:

Application of two advanced image segmentation and reconstruction algorithms.
Utilizing synthetic FIB-SEM datasets with known ground truth for quantitative validation.
Investigating the effect of varying voxel sizes on reconstructed properties.

Main Results:

Voxel size significantly influences morphological descriptors and effective permeability.
Anisotropic sampling in FIB-SEM data leads to observable anisotropies in reconstructed properties.
Quantitative comparisons validated the accuracy of reconstruction methods on synthetic data.

Conclusions:

Accurate reconstruction of FIB-SEM data is vital for reliable material characterization.
Understanding and mitigating the effects of voxel size and anisotropic sampling is essential.
Optimal reconstruction parameters can be determined using ground truth data.