Large block embedding and "pop-off" technique for immunoelectron microscopy

K L de Mesy Jensen1, P A di Sant'Agnese

  • 1Department of Pathology, University of Rochester, New York 14642.

Insights

This study introduces a novel immunoelectron microscopy technique using large plastic blocks for easier thin sectioning. It improves the localization of sparse cells and tissue structures with excellent preservation.

Area of Science:

  • Electron Microscopy
  • Immunohistochemistry
  • Cell Biology

Background:

  • Immunoelectron microscopy (IEM) is crucial for visualizing cellular structures and antigen localization.
  • Conventional IEM processing can be challenging for identifying sparse cellular components.
  • Improved embedding and sectioning techniques are needed for enhanced IEM analysis.

Purpose of the Study:

  • To describe a new IEM technique utilizing large plastic blocks for improved sectioning.
  • To evaluate the efficacy of this technique in locating sparse cells and tissue structures.
  • To assess the compatibility of different acrylic plastics with this novel method.

Main Methods:

  • A large block (6 x 12 mm) embedding technique for IEM was developed.
  • Re-embedding of semithin (3-micron) sections was performed directly for thin sectioning.
  • Three acrylic plastics (Lowicryl K4M, LR Gold, LR White) were tested for compatibility.

Main Results:

  • The large block re-embedding technique facilitated the localization of sparse cells and tissue structures.
  • Lowicryl K4M and LR Gold demonstrated excellent ultrastructural morphologic preservation and antigenicity retention.
  • These two plastics were successfully adapted to the large block re-embedding technique, comparable to conventional methods.

Conclusions:

  • The described large block re-embedding technique is effective for IEM, particularly for sparse targets.
  • Lowicryl K4M and LR Gold are suitable embedding media for this technique, ensuring high-quality ultrastructural preservation.
  • Technical challenges were noted with LR White, suggesting it is less optimal for this specific application.