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Updated: Dec 12, 2025

A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
Published on: March 30, 2020
A 34-Marker Panel for Imaging Mass Cytometric Analysis of Human Snap-Frozen Tissue
Nannan Guo1, Vincent van Unen1,2, Marieke E Ijsselsteijn3
1Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands.
Insights
This study optimizes imaging mass cytometry (IMC) protocols for human tissues. The findings improve spatial and antigen quantification in tissues, aiding researchers in enhancing IMC data quality.
Area of Science:
- Biomedical Engineering
- Immunology
- Histology
Background:
- Imaging Mass Cytometry (IMC) enables sub-cellular resolution quantification of multiple markers on tissue sections.
- IMC provides spatial information and antigen quantification in situ, applicable to both frozen and FFPE tissues.
- Optimized protocols are crucial for maximizing data quality and reproducibility in IMC experiments.
Purpose of the Study:
- To develop and optimize immunodetection conditions for a 34-antibody panel for IMC on human snap-frozen tissue sections.
- To compare the impact of different fixation procedures, drying times, and antibody incubation conditions on IMC data quality.
- To demonstrate the utility of the optimized protocol by analyzing human fetal and adult intestinal tissues.
Main Methods:
- Tested the performance of 80 antibodies for a 34-plex panel.
- Compared various tissue fixation methods (methanol, paraformaldehyde, acetone) and incubation conditions (temperature, duration).
- Applied the optimized protocol to human fetal and adult intestinal tissue samples.
Main Results:
- Tissue drying times had minimal impact on image quality.
- Methanol fixation or PFA followed by methanol fixation yielded superior results compared to acetone or PFA alone.
- Overnight antibody incubation at 4°C provided more consistent staining than 5-hour incubation at room temperature.
Conclusions:
- Optimized IMC protocols, including specific fixation and incubation steps, enhance data quality for human tissue analysis.
- The study successfully visualized tissue architecture and cellular composition in human fetal and adult intestines.
- This work provides a valuable resource for researchers aiming to improve IMC data quality and spatial analysis.
Abstract:
Imaging mass cytometry (IMC) is able to quantify the expression of dozens of markers at sub-cellular resolution on a single tissue section by combining a novel laser ablation system with mass cytometry. As such, it allows us to gain spatial information and antigen quantification in situ, and can be applied to both snap-frozen and formalin-fixed, paraffin-embedded (FFPE) tissue sections. Herein, we have developed and optimized the immunodetection conditions for a 34-antibody panel for use on human snap-frozen tissue sections. For this, we tested the performance of 80 antibodies. Moreover, we compared tissue drying times, fixation procedures and antibody incubation conditions. We observed that variations in the drying times of tissue sections had little impact on the quality of the images. Fixation with methanol for 5 min at -20°C or 1% paraformaldehyde (PFA) for 5 min at room temperature followed by methanol for 5 min at -20°C were superior to fixation with acetone or PFA only. Finally, we observed that antibody incubation overnight at 4°C yielded more consistent results as compared to staining at room temperature for 5 h. Finally, we used the optimized method for staining of human fetal and adult intestinal tissue samples. We present the tissue architecture and spatial distribution of the stromal cells and immune cells in these samples visualizing blood vessels, the epithelium and lamina propria based on the expression of α-smooth muscle actin (α-SMA), E-Cadherin and Vimentin, while simultaneously revealing the colocalization of T cells, innate lymphoid cells (ILCs), and various myeloid cell subsets in the lamina propria of the human fetal intestine. We expect that this work can aid the scientific community who wish to improve IMC data quality.
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