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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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: Jun 22, 2026

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

Modeling material saturation effects in microholographic recording.

Zs Nagy, P Koppa, F Ujhelyi

    Optics Express
    |June 18, 2009
    PubMed
    Summary
    This summary is machine-generated.

    A new model simulates microholographic data storage, accurately capturing material behavior. This optimization enhances the writing process for more reliable holographic data storage systems.

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    Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
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    Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

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    Last Updated: Jun 22, 2026

    Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
    12:18

    Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

    Published on: October 21, 2018

    Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
    13:43

    Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

    Published on: June 24, 2013

    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Data Storage Technologies

    Background:

    • Microholographic data storage offers high-density information retrieval.
    • Accurate simulation of storage materials is crucial for system optimization.
    • Non-linear and non-local material behaviors present simulation challenges.

    Purpose of the Study:

    • To present a microholographic data storage system model.
    • To incorporate non-linear and non-local material properties for enhanced simulation accuracy.
    • To optimize the holographic data writing process.

    Main Methods:

    • A diffusion-based nonlocal material model was employed for photopolymer description.
    • Numerical methods were used to solve the diffusion equation.
    • The modulation of the dielectric constant was calculated based on the material model.

    Main Results:

    • The developed model accurately simulates microholographic data storage systems.
    • Simulated diffraction efficiencies of microholograms showed good agreement with experimental measurements.
    • The model facilitates optimization of the writing process for improved storage performance.

    Conclusions:

    • The presented model effectively captures the complex behavior of storage materials.
    • Accurate simulation leads to better understanding and optimization of microholographic data storage.
    • This approach validates the use of nonlocal material models in holographic storage simulations.