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Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Updated: Jun 4, 2026

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

High-throughput full-automatic synchrotron-based tomographic microscopy.

Kevin Mader1, Federica Marone, Christoph Hintermüller

  • 1Swiss Light Source, Paul Scherrer Institute, Villigen, Switzerland.

Journal of Synchrotron Radiation
|February 22, 2011
PubMed
Summary
This summary is machine-generated.

A new automated system at the TOMCAT beamline enables high-throughput X-ray computed tomography (CT) by handling sample exchange and scanning without user intervention. This innovation significantly boosts research efficiency for materials science and other fields requiring rapid 3D imaging.

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Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
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Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

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Last Updated: Jun 4, 2026

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

Area of Science:

  • Materials Science
  • Physics
  • Engineering

Background:

  • High-throughput studies require efficient data acquisition.
  • Automated sample handling and scanning are crucial for maximizing beamline productivity.

Purpose of the Study:

  • To develop and implement a fully automated system for high-throughput X-ray computed tomography (CT).
  • To enable unattended, continuous operation of the TOMCAT beamline for sample analysis.

Main Methods:

  • Integration of Python scripts with robotic sample exchange, motorized stages, and CCD cameras.
  • Development of automated sample loading, alignment, region of interest finding, and scanning protocols.
  • Utilizing the TOMCAT beamline's capabilities for rapid tomographic dataset acquisition (5-10 minutes per dataset).

Main Results:

  • Achieved throughput rates of four samples per hour with 0.74 µm voxel size at 17.5 keV.
  • Demonstrated unattended operation for up to 53 hours, exceeding typical user beam time allocations.
  • Successfully automated sample mounting, region finding, scanning, and reconstruction processes.

Conclusions:

  • The developed system represents the first fully automated high-throughput tomography station.
  • This automation significantly accelerates and simplifies the process of tomographic microscopy for various samples.
  • The system is versatile, accommodating samples mounted on standard SEM stubs without specific environmental requirements.