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Multielement Z-tag imaging by X-ray fluorescence microscopy for next-generation multiplex imaging

Biology

Multielement Z-tag imaging by X-ray fluorescence microscopy for next-generation multiplex imaging

M. Strotton, T. Hosogane, et al.

Discover the groundbreaking multielement Z-tag X-ray fluorescence (MEZ-XRF) bioimaging method developed by Merrick Strotton, Tsuyoshi Hosogane, Marco di Michiel, Holger Moch, Zsuzsanna Varga, and Bernd Bodenmiller. This innovative technique allows for rapid, high-resolution imaging of subcellular features, marking a significant advancement in multiomic tissue analysis.

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~3 min • Beginner • English
Abstract
Rapid, highly multiplexed, nondestructive imaging that spans the molecular to the supra-cellular scale would be a powerful tool for tissue analysis. However, the physical constraints of established imaging methods limit the simultaneous improvement of these parameters. Whole-organism to atomic-level imaging is possible with tissue-penetrant, picometer-wavelength X-rays. To enable highly multiplexed X-ray imaging, we developed multielement Z-tag X-ray fluorescence (MEZ-XRF) that can operate at kHz speeds when combined with signal amplification by exchange reaction (SABER)-amplified Z-tag reagents. We demonstrated parallel imaging of 20 Z-tag or SABER Z-tag reagents at subcellular resolution in cell lines and multiple human tissues. We benchmarked MEZ-XRF against imaging mass cytometry and demonstrated the nondestructive multiscale repeat imaging capabilities of MEZ-XRF with rapid tissue overview scans, followed by slower, more sensitive imaging of low-abundance markers such as immune checkpoint proteins. The unique multiscale, nondestructive nature of MEZ-XRF, combined with SABER Z-tags for high sensitivity or enhanced speed, enables highly multiplexed bioimaging across biological scales.
Publisher
Nature Methods
Published On
Sep 01, 2023
Authors
Merrick Strotton, Tsuyoshi Hosogane, Marco di Michiel, Holger Moch, Zsuzsanna Varga, Bernd Bodenmiller
Tags
bioimaging
X-ray fluorescence
MEZ-XRF
multiomic
signal amplification
subcellular resolution
tissue analysis
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