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A Hierarchical Etched Grid for Correlative Chemical Imaging
Natalie S W Arigundiya1,2,3, Jake Brooks2, Peter Sykes4
1Analytical Science Centre for Doctoral Training, University of Warwick, Coventry CV4 7AL, United Kingdom.
Chemical & Biomedical Imaging
|July 30, 2026
Summary
Researchers developed a novel finder grid for correlative microscopy, improving spatial accuracy in synchrotron X-ray fluorescence (SXRF) and optical imaging of biological tissues. This method enhances element distribution analysis in samples like human brain tissue.
Area of Science:
- Biological imaging
- Materials science
- Analytical chemistry
Background:
- Correlative microscopy combining synchrotron X-ray fluorescence (SXRF) and optical imaging is crucial for mapping elemental distributions in biological samples.
- Accurate spatial correlation between these techniques is challenging, limiting data interpretation and precision.
- Existing methods, like using tissue architecture or electron microscopy grids, have limitations in resolution and can introduce interfering elements.
Purpose of the Study:
- To present a novel finder grid system for enhanced spatial correlation in SXRF correlative microscopy.
- To overcome limitations of conventional registration methods for biological tissue analysis.
- To improve accuracy and data interpretation in multimodal imaging studies.
Main Methods:
- Developed a hierarchically patterned fiducial system etched onto quartz substrates using femtosecond laser ablation.
- Created two finder grid formats: microgrid and nanogrid designs.
- Demonstrated utility with human brain tissue for region-of-interest (ROI) relocalization and correlative workflows.
Main Results:
- The etched quartz finder grid enables improved correlation across SXRF, optical imaging, and histology over various length scales.
- This method surpasses conventional registration techniques by avoiding XRF signal interference from fiducial markers.
- Facilitates rapid and reproducible ROI relocalization and alignment across different instruments, especially with sparse fiducial markers.
Conclusions:
- The novel quartz finder grid offers a robust solution for precise spatial correlation in SXRF correlative microscopy.
- This technique enhances the reliability of elemental mapping in biological tissues.
- The approach is adaptable for broader applications in multimodal imaging and analysis.

