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A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
Published on: March 30, 2020
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Multielement Z-tag imaging by X-ray fluorescence microscopy for next-generation multiplex imaging.
Merrick Strotton1,2, Tsuyoshi Hosogane3,4,5, Marco di Michiel6
1Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland. merrick.strotton@uzh.ch.
Nature Methods
|August 31, 2023
Summary
New multielement Z-tag X-ray fluorescence (MEZ-XRF) enables rapid, nondestructive bioimaging. This technique allows for highly multiplexed analysis across molecular to supra-cellular scales in various tissues.
Area of Science:
- Biophysics
- Molecular Imaging
- Biotechnology
Background:
- Established imaging methods face limitations in simultaneously achieving high multiplexing, speed, and resolution.
- X-ray imaging offers potential for deep tissue penetration and atomic-level detail.
Purpose of the Study:
- To develop a rapid, highly multiplexed, and nondestructive imaging technique for tissue analysis.
- To overcome the physical constraints of current bioimaging modalities.
Main Methods:
- Development of multielement Z-tag X-ray fluorescence (MEZ-XRF).
- Integration of MEZ-XRF with signal amplification by exchange reaction (SABER)-amplified Z-tag reagents for enhanced speed and sensitivity.
- Demonstration of parallel imaging of 20 Z-tag or SABER Z-tag reagents.
Main Results:
- Achieved subcellular resolution imaging in cell lines and human tissues.
- Demonstrated parallel imaging of up to 20 reagents simultaneously.
- Benchmarked MEZ-XRF against imaging mass cytometry.
- Showcased nondestructive, multiscale repeat imaging capabilities, from rapid overview scans to sensitive detection of low-abundance markers.
Conclusions:
- MEZ-XRF provides a powerful tool for highly multiplexed bioimaging across diverse biological scales.
- The combination of MEZ-XRF and SABER Z-tags offers high sensitivity and speed for advanced tissue analysis.
- This technique enables nondestructive, multiscale imaging, advancing tissue analysis and biomarker discovery.

