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Related Concept Videos

Preparation of Samples for Electron Microscopy01:20

Preparation of Samples for Electron Microscopy

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To be visualized by an electron microscope, either transmission or scanning, biological samples need to be fixed (stabilized) so the electron beam does not destroy them and dried thoroughly (desiccated/dehydrated) so the vacuum does not affect them. Fixation needs to be done as quickly as possible because the sample properties will start changing as soon as it is removed from its natural environment. For example, in a tissue sample, the oxygen levels begin decreasing, causing an altered...
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Immunoelectron microscopy utilizes immunogold labeling of endogenous proteins with specific antibodies to detect and localize these proteins in cells and tissues. The procedure provides insights into the distribution and quantification of protein under different stimulation conditions offering clues about their functions. Conjugating highly electron-dense gold particles with primary or secondary antibodies allow antigen detection on and within cells, with high resolution and specificity.
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Overview of Electron Microscopy01:25

Overview of Electron Microscopy

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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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Fixation and Sectioning01:03

Fixation and Sectioning

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Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
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Cryo-electron Microscopy01:28

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Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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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
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Updated: May 20, 2025

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Image-processing methods for electron microscopy of biological specimens.

Carlos Oscar S Sorzano1, Albert Bartesaghi2, Amit Singer3

  • 1Centro Nacional de Biotecnología-CSIC, C/Darwin 3, Cantoblanco, 28049 Madrid, Spain.

Acta Crystallographica. Section D, Structural Biology
|May 19, 2025
PubMed
Summary
This summary is machine-generated.

This virtual issue introduces advanced image-processing methods for electron microscopy of biological specimens. Discover cutting-edge techniques to enhance biological imaging and analysis.

Keywords:
electron microscopyimage processing

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Area of Science:

  • * Electron microscopy
  • * Biological imaging
  • * Image processing

Background:

  • * Electron microscopy is crucial for visualizing biological specimens at high resolution.
  • * Processing electron microscopy images presents unique challenges due to noise and artifacts.
  • * Advancements in computational methods are essential for extracting meaningful data.

Purpose of the Study:

  • * To introduce a focused collection of recent advancements in image-processing methods for electron microscopy.
  • * To highlight novel computational techniques applicable to biological samples.
  • * To provide a resource for researchers in structural biology and materials science.

Main Methods:

  • * Review of state-of-the-art image processing algorithms.
  • * Application of machine learning and deep learning in image analysis.
  • * Development of novel algorithms for noise reduction and feature extraction.

Main Results:

  • * Demonstration of improved resolution and clarity in electron microscopy images.
  • * Successful application of new methods to complex biological structures.
  • * Enhanced accuracy in quantitative analysis of microscopic data.

Conclusions:

  • * Image processing is critical for maximizing the information obtained from electron microscopy.
  • * Emerging computational techniques offer significant potential for biological imaging.
  • * This virtual issue serves as a valuable guide to current and future directions.