Correlative scanning electron and confocal microscopy imaging of labeled cells coated by indium-tin-oxide

Simona Rodighiero1, Bruno Torre2, Elisa Sogne1,3

  • 1Fondazione Filarete, Viale Ortles 22/4, Milano, 20139, Italy.

Insights

Correlative light and electron microscopy (CLEM) enables visualizing cell structures and functions. A new indium-tin-oxide coating method preserves signals from gold nanoparticles used in scanning electron microscopy (SEM) for antigen labeling.

Area of Science:

  • Cell biology
  • Microscopy techniques
  • Nanotechnology

Background:

  • Confocal microscopy visualizes intracellular antigens using fluorescent tags.
  • Scanning electron microscopy (SEM) images cell surface morphology at the nanoscale.
  • Correlative light and electron microscopy (CLEM) links surface structures to cellular functions.

Purpose of the Study:

  • To develop a method for enhancing SEM imaging of gold-labeled cell surface antigens.
  • To overcome limitations of traditional SEM coating materials that interfere with backscattered electron (BSE) signals.
  • To enable stable electrical conductivity for SEM imaging without masking gold nanoparticle markers.

Main Methods:

  • Cells (HeLa and neurons) were decorated with gold nanoparticles for antigen labeling.
  • A thin layer of indium-tin-oxide was deposited onto the gold-decorated cells using ion-sputtering.
  • The conductivity and signal preservation of the indium-tin-oxide coating were evaluated for SEM imaging.

Main Results:

  • Indium-tin-oxide coating provided stable electrical conductivity to the cells.
  • The coating successfully preserved the backscattered electron (BSE) signal from the gold nanoparticle markers.
  • This method overcomes the limitations of heavy metal or chromium coatings in SEM.

Conclusions:

  • Indium-tin-oxide is a suitable coating material for SEM imaging of gold-labeled cell surface antigens.
  • This technique enhances the correlative analysis of cell surface structures and antigen localization.
  • The method improves the quality and reliability of SEM-based cellular imaging in CLEM applications.

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