Digital twin enables radiosensitive organic speciation in 3D

Cazals, Laure; Desolneux, Agnes; Huotari, Simo; Dalecky, Lauren; Sahle, Christoph; Mirone, Alessandro; Cohen, Serge; Bertrand, Loïc

doi:10.1126/sciadv.adw5444

Published October 10, 2025 | Version v1

Journal article Open

Digital twin enables radiosensitive organic speciation in 3D

1. ENS Paris-Saclay, CNRS, PPSM, Université Paris-Saclay
2. ENS Paris-Saclay, CNRS, Centre Borelli, Université Paris-Saclay
3. University of Helsinki
4. European Synchrotron Radiation Facility
5. CNRS, UVSQ, MNHN, Ministère de la Culture, IPANEMA, Université Paris-Saclay

Abstract

State-of-the-art spectral imaging techniques using high-brilliance sources face an inherent trade-off between signal intensity and sample integrity, particularly in hyperspectral and multispectral imaging. Traditionally, optimizing acquisition parameters, such as source wavelength, intensity, and exposure time, relies on empirical adjustments to enhance image contrast. Here, we introduce a digital twin methodology to overcome these limitations. Focusing on x-ray Raman imaging, a powerful yet underutilized speciation probe constrained by low quantum efficiency, we demonstrate its application to sensitive organic samples. Our approach enabled a 10-fold reduction in acquisition time while maintaining operation below the damage threshold, paving the way for high-fidelity spectral imaging with minimal sample degradation.

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