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An Easy Path for Correlative Electron and Super-Resolution Light Microscopy.

Dorothea Pinotsi1, Simona Rodighiero2,3, Silvia Campioni4,5

  • 1Scientific Center for Optical and Electron Microscopy, ETH Zurich, Zurich, Switzerland. dpinotsi@ethz.ch.

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Researchers developed an integrated system combining super-resolution light microscopy and scanning electron microscopy. This novel approach simplifies correlative imaging of biological samples like amyloid fibrils, aiding neurodegenerative disease research.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Correlative Light and Electron Microscopy (CLEM) integrates high-resolution electron microscopy with the specificity of light microscopy.
  • Advancements include combining super-resolution light microscopy with electron microscopy, but often involve complex workflows and equipment.
  • Existing methods can be expensive and time-consuming, limiting accessibility for detailed biological sample analysis.

Purpose of the Study:

  • To present a simplified and efficient method for correlative super-resolution light and scanning electron microscopy (SRLM/SEM).
  • To overcome the challenges of specimen manipulation and complex workflows in traditional CLEM.
  • To enable easier and faster acquisition of correlative high-resolution images for biological research.

Main Methods:

  • Integration of a commercial wide-field fluorescence microscope within the specimen chamber of a Scanning Electron Microscope (SEM).
  • Utilizing the Super-Resolution Radial Fluctuations (SRRF) algorithm to enhance the resolution of diffraction-limited fluorescence images.
  • Demonstration on fluorescently labeled amyloid fibrils, key in neurodegenerative diseases.

Main Results:

  • Successful implementation of an integrated hardware/software system for correlative SRLM/SEM imaging.
  • Acquisition of high-resolution correlative images in an efficient and straightforward manner.
  • Revealed detailed information regarding the polymorphism of amyloid fibrils.

Conclusions:

  • The developed integrated system offers a practical solution for advanced correlative microscopy.
  • This approach facilitates the study of complex biological structures, such as protein aggregates implicated in neurodegenerative diseases.
  • The method enhances the ease and speed of obtaining correlative super-resolution light and electron microscopy data.