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Accurate post-mortem alignment for Focused Ion Beam and Scanning Electron Microscopy (FIB-SEM) tomography
H Yuan1, B Van de Moortèle2, T Epicier3
1Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon1, MATEIS, umr CNRS 5510, 69621 Villeurbanne Cedex, France; Université de Lyon, ENS-Lyon, LGLTPE, umr CNRS 5276, 69364 Lyon 07, France.
Ultramicroscopy
|July 15, 2021
Summary
Accurate 3D reconstruction in focused ion beam scanning electron microscopy (FIB-SEM) tomography requires precise image alignment. A novel topography-based method offers improved accuracy over traditional cross-correlation techniques for correcting sample drifts.
Area of Science:
- Materials Science
- Microscopy
- Nanotechnology
Background:
- Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) tomography is crucial for 3D microstructural analysis.
- Sample drifts during FIB-SEM slice-and-view experiments introduce significant inaccuracies in volume reconstruction.
- Current alignment methods like cross-correlation are prone to errors and can be unreliable.
Purpose of the Study:
- To develop and evaluate a novel image alignment procedure for FIB-SEM tomography.
- To address the inaccuracies caused by sample drifts in 3D reconstruction.
- To compare the performance of the new method against existing techniques.
Main Methods:
- A new alignment procedure was developed based on quantifying the topography of the sample surface.
- This novel method was compared with standard cross-correlation alignment.
- An alternative approach using an artificial reference marker fabricated during the FIB process was also evaluated.
Main Results:
- The novel topography-based alignment procedure demonstrated superior accuracy and reliability.
- Cross-correlation methods were shown to be potentially flawed and hazardous for image alignment.
- The performance of all evaluated methods was discussed in terms of their accuracy and liability.
Conclusions:
- Quantifying sample surface topography provides a more accurate and reliable method for aligning FIB-SEM images.
- This new approach mitigates inaccuracies in 3D volume reconstruction and morphological parameter quantification.
- The developed method offers a significant improvement for high-fidelity 3D microstructural analysis using FIB-SEM tomography.

