Image quality evaluation for FIB-SEM images.

Area of Science:

• Materials Science
• Microscopy Techniques
• Image Analysis

Background:

• Focused ion beam scanning electron microscopy (FIB-SEM) tomography is a powerful 3D imaging technique.
• Serial sectioning in FIB-SEM generates 3D reconstructions by combining SEM images of milled layers.
• Image distortions and artifacts from milling and imaging processes hinder accurate morphological analysis.

Purpose of the Study:

• To address the challenge of image quality in FIB-SEM tomography.
• To propose novel quality indices for evaluating FIB-SEM datasets.
• To enhance the reliability of morphological analysis from FIB-SEM data.

Main Methods:

• Development of quantitative quality indices tailored for FIB-SEM data.
• Validation of proposed indices using real-world experimental data.
• Application of indices to diverse material structures.

Main Results:

• The proposed quality indices effectively evaluate FIB-SEM datasets.
• Indices help identify and quantify common artifacts like noise, curtaining, and charging.
• Validated indices demonstrate utility across various materials and structures.

Conclusions:

• The developed quality indices provide a reliable method for assessing FIB-SEM data integrity.
• These indices are crucial for improving the accuracy of 3D morphological analysis.
• This work contributes to more robust and trustworthy results in materials science using FIB-SEM.