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Overview of Electron Microscopy01:25

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The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.
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Related Experiment Video

Updated: Jun 13, 2025

Microcrystal Electron Diffraction of Small Molecules
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Energy filtering enables macromolecular MicroED data at sub-atomic resolution.

Max T B Clabbers1,2, Johan Hattne1,2, Michael W Martynowycz2

  • 1Howard Hughes Medical Institute, University of California, Los Angeles, CA 90095.

Biorxiv : the Preprint Server for Biology
|September 11, 2024
PubMed
Summary
This summary is machine-generated.

High-resolution macromolecular structures are now achievable with electron counting and energy filtering in MicroED. This technique improves signal-to-noise ratio, enabling detailed protein structure modeling and revealing new insights.

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Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography
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Area of Science:

  • * Correlative microscopy and structural biology.
  • * Advanced electron crystallography techniques.

Background:

  • * Obtaining high-resolution data in macromolecular crystallography is limited by fading diffraction intensities and radiation damage.
  • * Direct electron detectors and electron counting enable MicroED data collection at low flux, but inelastic scattering remains a significant noise source.
  • * Noise from inelastic scattering hinders accurate measurement of faint, high-resolution reflections.

Purpose of the Study:

  • * To investigate the impact of energy filtering on MicroED data quality and resolution.
  • * To assess the combined benefits of energy filtering and electron counting for macromolecular structure determination.
  • * To explore novel structural information from diffuse scattering phenomena.

Main Methods:

  • * Utilized electron counting with direct electron detectors for MicroED data acquisition.
  • * Implemented an energy filter to remove inelastically scattered electrons.
  • * Collected and processed MicroED data from proteinase K crystals.

Main Results:

  • * Energy filtering significantly improved the signal-to-noise ratio by reducing background noise from inelastic scattering.
  • * Achieved sub-atomic resolution MicroED data, enabling accurate structure modeling and visualization of fine details.
  • * Observed and characterized diffuse scattering phenomena previously obscured by noise.

Conclusions:

  • * Combining energy filtering with electron counting in MicroED enhances data accuracy and resolution.
  • * This approach facilitates precise protein structure refinement and deeper understanding of protein function.
  • * Diffuse scattering, revealed by noise reduction, offers potential for additional structural insights.