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Updated: Sep 25, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
Published on: March 25, 2020
Immuno Tomography (IT) and Imaging Mass Cytometry (IMC) for constructing spatially resolved, multiplexed 3D IMC data
Ladan Gheiratmand1, Donald J Brown2, Daaf Sandkuijl1
1Standard BioTools Canada Inc. (formerly Fluidigm), 1380 Rodick Road, Suite 400, Markham, ON, Canada.
Imaging Mass Cytometry (IMC) enables 3D analysis of stem cells in tissues. This advanced technique overcomes limitations of Immuno Tomography (IT) for detailed stem cell characterization.
Area of Science:
- Biomedical Engineering
- Stem Cell Biology
- Ophthalmology
Background:
- Immuno Tomography (IT) identifies label-retaining stem cells in cornea and meibomian glands.
- IT quantifies small stem cell populations (1-4 cells) but is limited by antigen stability for multi-antigen characterization.
Purpose of the Study:
- Evaluate Imaging Mass Cytometry (IMC) for multiplexed imaging of Immuno Tomography (IT) plastic sections.
- Generate 3-dimensional IMC (3D IMC) data sets for enhanced stem cell analysis.
Main Methods:
- Utilized K5-H2B-GFP mice eyelid tissue processed for IT.
- Probed 400 serial plastic sections (2 μm) with 8 metal-tagged antibodies (sox 9, collagen type I, E-cadherin, Ki67, GFP, αSMA, vimentin, DNA intercalator).
- Generated multiplexed images using an IMC system and assembled 3D reconstructions.
Main Results:
- Successfully detected all 8 metal-labeled tags and assembled images into 3D IMC datasets.
- Identified GFP-labeled nuclei in meibomian glands, consistent with previously reported slow-cycling stem cell numbers.
Conclusions:
- IMC effectively generates multiplexed, 3D data sets from plastic sections for stem cell localization.
- 3D IMC shows potential for comprehensive characterization of stem cell populations across various tissues.
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