ArticleScience advances2025
Digital twin enables radiosensitive organic speciation in 3D.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
8 authors.
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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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.