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Updated: Dec 23, 2025

Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
Published on: June 23, 2023
Automated 100-position specimen loader and image acquisition system for transmission electron microscopy
Jonathan Lefman1, Robert Morrison, Sriram Subramaniam
1Laboratory of Cell Biology, National Cancer Institute, NIH, Bethesda, MD 20817, USA.
A new "Gatling" system enables high-throughput transmission electron microscopy by automating the exchange of up to 100 specimens. This novel imaging system significantly accelerates data acquisition for biological and materials science research.
Area of Science:
- Electron Microscopy
- Materials Science
- Nanotechnology
Background:
- High-throughput screening of multiple specimens is crucial for advancing fields like biology, materials science, and nanotechnology.
- Current transmission electron microscopy (TEM) methods often involve time-consuming manual specimen exchange, limiting throughput.
- Automated solutions are needed to accelerate the imaging and analysis of numerous samples.
Purpose of the Study:
- To develop and implement a novel, automated multi-specimen loading system for high-throughput transmission electron microscopy.
- To enable rapid, sequential examination of up to 100 specimens at room temperature.
- To streamline data acquisition and analysis workflows for large-scale imaging studies.
Main Methods:
- Development of a cartridge-based specimen loading system named "Gatling" for automated, rapid specimen exchange.
- Integration of the Gatling system with an updated version of the AutoEM software for automated data acquisition.
- Implementation of remote control capabilities for automated data acquisition procedures.
Main Results:
- The Gatling system successfully facilitates the sequential examination of multiple specimens in TEM.
- The system can deliver 95 specimens and collect overview images within approximately 13 hours.
- Automated acquisition of unlimited high-magnification images from identified regions of interest is achievable.
Conclusions:
- The Gatling system represents a significant advancement in high-throughput electron microscopy.
- This technology has the potential to greatly accelerate data acquisition and analysis across diverse scientific disciplines.
- The automated workflow is expected to expedite screening and image analysis for applications requiring examination of numerous specimens.
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