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Radioactive in situ Hybridization for Detecting Diverse Gene Expression Patterns in Tissue

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Digital twin enables radiosensitive organic speciation in 3D.

Laure Cazals¹, Agnès Desolneux², Simo Huotari³

¹ENS Paris-Saclay, CNRS, PPSM, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.

Science Advances

|October 10, 2025

Summary

This study introduces a digital twin for spectral imaging, reducing acquisition time by tenfold for x-ray Raman imaging. This method preserves sensitive organic samples while enhancing image quality.

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Area of Science:

Advanced imaging techniques
Spectroscopy
Materials science

Background:

Spectral imaging faces a trade-off between signal intensity and sample integrity.
Optimizing parameters like wavelength and exposure time is often empirical.
X-ray Raman imaging is powerful for speciation but limited by low quantum efficiency.

Purpose of the Study:

To overcome limitations in spectral imaging by introducing a digital twin methodology.
To apply this methodology to x-ray Raman imaging for sensitive organic samples.
To improve acquisition speed and maintain sample integrity.

Main Methods:

Development and application of a digital twin methodology.
Focus on x-ray Raman imaging technique.
Utilizing high-brilliance sources for spectral imaging.

Main Results:

Achieved a 10-fold reduction in acquisition time for x-ray Raman imaging.
Maintained sample integrity below the damage threshold.
Demonstrated high-fidelity spectral imaging with minimal sample degradation.

Conclusions:

Digital twin methodology effectively addresses spectral imaging trade-offs.
Enables faster, high-fidelity x-ray Raman imaging of sensitive samples.
Paves the way for advanced, non-destructive spectral analysis.