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Related Concept Videos

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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Related Experiment Video

Updated: Jul 23, 2025

Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples
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Resin comparison for serial block face scanning volume electron microscopy.

Peter Borghgraef1, Anna Kremer1, Michiel De Bruyne1

  • 1VIB Bioimaging Core, VIB, Ghent, Belgium; VIB-UGent Center for Inflammation Research, VIB, Ghent, Belgium; Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium.

Methods in Cell Biology
|July 14, 2023
PubMed
Summary

Serial Block Face Scanning Electron Microscopy (SBF-SEM) requires optimized resin embedding for clear 3D nanostructure imaging. This study compares common resins to improve SBF-SEM sample preparation effectiveness and data quality.

Keywords:
ResinSBF-SEMSample preparation

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Area of Science:

  • Microscopy
  • Cell Biology
  • Materials Science

Background:

  • Serial Block Face Scanning Electron Microscopy (SBF-SEM) is a key volume electron microscopy (vEM) technique for 3D nanostructure analysis.
  • Despite widespread adoption, few studies compare SBF-SEM specimen preparation parameters, particularly resin embedding.

Purpose of the Study:

  • To survey the SBF-SEM literature for commonly used resins.
  • To compare different resins for cellular and fixed tissue samples.
  • To optimize SBF-SEM sample preparation for resin infiltration, charging/beam resistance, and image clarity.

Main Methods:

  • Literature survey of SBF-SEM publications to identify prevalent resins.
  • Comparative analysis of selected resins using cellular and fixed tissue samples.
  • Evaluation of sample preparation based on resin infiltration, charging, beam damage, and image clarity.

Main Results:

  • Identification of commonly used resins in SBF-SEM literature.
  • Comparative data on resin performance in cellular and fixed tissue samples.
  • Discussion of factors influencing optimal resin selection for SBF-SEM.

Conclusions:

  • Resin choice significantly impacts SBF-SEM data quality and preparation efficiency.
  • Optimizing resin embedding is crucial for effective 3D nanostructure visualization using SBF-SEM.
  • This study provides guidance for selecting appropriate resins to enhance SBF-SEM imaging outcomes.