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Updated: Jun 17, 2025

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Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
Published on: July 15, 2021
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FAST-EM array tomography: a workflow for multibeam volume electron microscopy
Arent J Kievits1, B H Peter Duinkerken2, Ryan Lane1
1Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Summary
FAST-EM, a novel multibeam scanning transmission electron microscope, accelerates 3D nanoscale imaging of biological samples. This new workflow enables high-resolution, large-volume ultrastructural data acquisition within practical timeframes.
Area of Science:
- Cell Biology
- Microscopy
- Biophysics
Background:
- Understanding complex biological processes requires high-resolution 3D nanoscale imaging of cells and tissues.
- Traditional electron microscopy (EM) provides necessary resolution but suffers from low throughput, limiting large-volume imaging.
- Overcoming throughput limitations is crucial for advancing biological research using EM.
Purpose of the Study:
- To introduce a novel workflow for high-throughput volume electron microscopy (EM).
- To present FAST-EM, a multibeam scanning transmission electron microscope designed for parallel data acquisition.
- To demonstrate the capability of FAST-EM for reconstructing large, high-resolution 3D ultrastructural datasets.
Main Methods:
- Development and implementation of FAST-EM, a 64-beam scanning transmission electron microscope.
- Utilizing optical detection to separate signals from parallel electron beams.
- Establishing a workflow for parallel acquisition and 3D reconstruction of ultrastructural data.
Main Results:
- Demonstrated parallel acquisition of ultrastructural data using 64 electron beams.
- Successfully performed 3D reconstruction of multiple biological samples.
- Achieved large reconstructed volumes with high resolution and contrast.
Conclusions:
- The FAST-EM workflow significantly enhances throughput for volume EM.
- Enables high-resolution, large-scale 3D imaging of biological ultrastructure within feasible timeframes.
- Addresses key limitations in current EM techniques for biological research.

