2026-10-13T06:28:20Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33911362 2026-09-17T20:32:02Z portal_1197 item_type_3 month_year_09_2026

Data for A hierarchical etched grid for correlative chemical imaging Natalie Arigundiya (25051543) Migrated from ePrints Correlative microscopy linking synchrotron X-ray fluorescence (SXRF) with optical imaging is valuable for contextualizing chemical element distributions in biology. The spatial correlation necessary to achieve this presents fundamental challenges and can be a significant constraint on accuracy and data interpretation. We present a technical solution based on a finder grid concept, optimized for SXRF correlative studies of metals in biological tissues, with scope for wider adaptation and application. A hierarchically patterned fiducial system was directly etched onto spectroscopically clean quartz substrates via femtosecond laser ablation. This design enables improved correlation among SXRF, optical imaging, and histological staining over a greater range of length scales than conventional registration methods such as the use of tissue architecture from serial sections and the use of electron-microscopy-resolution finder grids and applied fiduciary markers that can introduce XRF-signal-dominating levels of elements such as copper, nickel, gold, and titanium. We present two quartz finder grid formats: a microgrid and a nanogrid design. We demonstrate their utility for rapid ROI relocalization and same-section correlative workflows using human brain tissue. The etched quartz finder grid approach facilitates rapid and reproducible ROI relocalization and alignment across instruments, particularly where integral fiducial markers are sparse or ambiguous.<br><br>This dataset contains the experimental data underlying the associated publication on laser-etched quartz finder grids for correlative synchrotron X-ray fluorescence (SXRF) and optical imaging workflows in biological tissue. The data include SXRF datasets acquired using the etched quartz grid substrates, together with associated correlative imaging data used to demonstrate region-of-interest re-localisation and alignment across imaging modalities. The work includes data collected using both microgrid and nanogrid formats and demonstrates application to human brain tissue. 2026-09-17T20:32:02Z Dataset Dataset 10.82444/warw.33911362.v1 https://figshare.com/articles/dataset/Data_for_A_hierarchical_etched_grid_for_correlative_chemical_imaging/33911362 CC BY 4.0