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Related Experiment Video

Updated: Dec 21, 2025

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Published on: June 29, 2022

A workflow for visualizing human cancer biopsies using large-format electron microscopy.

Jessica L Riesterer¹, Claudia S López², Erin S Stempinski¹

¹OHSU Center for Spatial Systems Biomedicine, Oregon Health and Sciences University, Portland, OR, United States; Multiscale Microscopy Core, Oregon Health and Sciences University, Portland, OR, United States.

Methods in Cell Biology

|May 20, 2020

Summary

This summary is machine-generated.

Large format electron microscopy (EM) enables detailed cell imaging. This workflow combines 2D and 3D imaging for cancer research, revealing ultrastructural details crucial for understanding disease progression and identifying therapeutic targets.

Keywords:

3DEM Biopsy Cancer Electron microscopy FIB-SEM Large area mapping SBF-SEM Tissue processing Volume rendering

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Area of Science:

Cell Biology
Pathology
Microscopy

Background:

Large format electron microscopy (EM) provides detailed ultrastructural information on cells and tissues.
Analyzing these images enhances understanding of cellular organization, interactions, and disease-related changes.

Purpose of the Study:

To describe a workflow for 2D and 3D imaging using optical and scanning electron microscopy (SEM) for cancer research.
To enable pathologists and cancer biologists to identify areas of interest in human cancer biopsies.

Main Methods:

Workflow compatible with 2D large format EM mapping, 3D focused ion beam-SEM, and serial block face-SEM.
Utilizes diverse imaging technologies available in academic institutions for broad applicability.
Includes protocols and mounting strategies for effective sample preparation.

Main Results:

Volumetric analysis revealed morphological, organizational, and ultrastructural aspects not visible with conventional 2D EM.
Demonstrated the utility of combining 2D and 3D EM for comprehensive analysis of cancer biopsies.
Highlighted the importance of extracellular matrix in understanding tumor cell interactions.

Conclusions:

While 2D EM remains valuable in diagnostics, 3D ultrastructural imaging offers deeper insights into cancer.
3D imaging of cell-matrix interactions aids in understanding disease progression.
This workflow facilitates the identification of potential therapeutic targets in cancer biology.