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Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography.
Ryan Warr1, Stephan Handschuh2, Martin Glösmann2
1Henry Royce Institute, Department of Materials, The University of Manchester, Manchester, M13 9PL, UK. ryan.warr18@gmail.com.
Scientific Reports
|December 19, 2022
Summary
Hyperspectral X-ray computed tomography (XCT) uniquely maps elemental composition in biological samples. This method precisely quantifies multiple chemical stains, advancing multi-staining techniques and heavy metal uptake studies.
Area of Science:
- Biomedical Imaging
- Materials Science
- Analytical Chemistry
Background:
- Chemical staining enhances soft tissue contrast but lacks precise elemental identification, especially for similar densities.
- Distinguishing multiple stains and their distribution is challenging with conventional imaging methods.
Purpose of the Study:
- To develop and validate a hyperspectral imaging routine for non-destructive identification and mapping of elemental composition in biological specimens.
- To enable direct measurement of chemical stain concentrations and analyze stain overlap and uptake.
- To advance understanding of multi-staining procedures and heavy metal uptake in various fields.
Main Methods:
- Utilized hyperspectral X-ray computed tomography (XCT) with high-resolution energy channels for simultaneous multi-element detection.
- Employed elemental calibration phantoms for direct stain concentration measurement using spectral absorption edge markers.
- Applied the routine to double- and triple-stained biological specimens to analyze stain interactions.
Main Results:
- Successfully distinguished multiple chemical agents based on their unique elemental signatures, irrespective of contrast similarity.
- Quantified stain concentrations and mapped their distribution within biological tissues.
- Analyzed the extent of stain overlap and specific uptake regions for common contrast agents.
Conclusions:
- Hyperspectral XCT provides a non-destructive method for unambiguous identification, segmentation, and elemental mapping of multiple stains in biological samples.
- The developed routine enables accurate measurement of stain concentrations and analysis of stain interactions.
- This technique offers significant potential for optimizing multi-staining protocols and investigating heavy metal uptake in diverse applications.

