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Updated: Jan 21, 2026

Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy
Published on: July 9, 2016
Serial block face-scanning electron microscopy for volume electron microscopy.
Saskia Lippens1, Anna Kremer1, Peter Borghgraef1
1VIB BioImaging Core, VIB, Ghent, Belgium; VIB Inflammation Research Center, VIB, Ghent, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium.
Serial Block Face Scanning Electron Microscopy (SBF-SEM) offers nanometer-resolution 3D imaging across various life science fields. This guide details the SBF-SEM workflow, highlighting adaptable steps for diverse sample types.
Area of Science:
- Life Science Research
- Microscopy Techniques
- Nanotechnology
Background:
- Serial Block Face Scanning Electron Microscopy (SBF-SEM) is increasingly used for 3D imaging in life sciences.
- Originally developed for neuroscience, its application has broadened to other research areas.
- SBF-SEM enables the capture of 3D volumes from monolayers to multiple tissue layers with nanometer resolution.
Purpose of the Study:
- To describe the Serial Block Face Scanning Electron Microscopy (SBF-SEM) workflow.
- To identify and explain adjustable steps within the SBF-SEM sample preparation process.
- To facilitate the adaptation of SBF-SEM for various sample types in life science research.
Main Methods:
- Detailed description of the Serial Block Face Scanning Electron Microscopy (SBF-SEM) workflow.
- Identification of critical steps in sample preparation amenable to modification.
- Methodology focused on optimizing SBF-SEM for diverse biological specimens.
Main Results:
- A comprehensive overview of the SBF-SEM process is provided.
- Specific steps within the workflow that can be adjusted for different samples are highlighted.
- The study offers insights into tailoring SBF-SEM protocols for broader applicability.
Conclusions:
- The SBF-SEM technique is a powerful tool for high-resolution 3D imaging in life sciences.
- Understanding and adapting specific workflow steps is crucial for successful SBF-SEM implementation across different research domains.
- This work provides a valuable resource for researchers seeking to optimize SBF-SEM for their unique sample requirements.
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