Title (en)
Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography
Language
English
Description (en)
Chemical staining of biological specimens is commonly utilised to boost contrast in soft tissue structures, but unambiguous identification of staining location and distribution is difficult without confirmation of the elemental signature, especially for chemicals of similar density contrast. Hyperspectral X-ray computed tomography (XCT) enables the non-destructive identification, segmentation and mapping of elemental composition within a sample. With the availability of hundreds of narrow, high resolution (~ 1 keV) energy channels, the technique allows the simultaneous detection of multiple contrast agents across different tissue structures. Here we describe a hyperspectral imaging routine for distinguishing multiple chemical agents, regardless of contrast similarity. Using a set of elemental calibration phantoms, we perform a first instance of direct stain concentration measurement using spectral absorption edge markers. Applied to a set of double- and triple-stained biological specimens, the study analyses the extent of stain overlap and uptake regions for commonly used contrast markers. An improved understanding of stain concentration as a function of position, and the interaction between multiple stains, would help inform future studies on multi-staining procedures, as well as enable future exploration of heavy metal uptake across medical, agricultural and ecological fields.
Keywords (en)
Coloring Agents; Tomography, X-Ray Computedmethods; Staining and Labeling; Phantoms, Imaging; Calibration
DOI
10.1038/s41598-022-23592-0
Author of the digital object
Ryan Warr (The University of Manchester)
Robert J. Cernik (The University of Manchester)
Philip J. Withers (The University of Manchester)
Stephan Handschuh (University of Veterinary Medicine Vienna)
Martin Glösmann (University of Veterinary Medicine Vienna)
Format
application/pdf
Size
1.0 MB
Licence Selected
Type of publication
Article
Name of Publication (en)
Scientific Reports
Pages or Volume
14
Volume
12
Number
1
Publisher
Nature Portfolio
Publication Date
2022
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Persistent identifier
DOI
https://phaidra.vetmeduni.ac.at/o:2723
https://doi.org/10.1038/s41598-022-23592-0 - Content
- DetailsObject typePDFDocumentFormatapplication/pdfCreated14.03.2024 11:44:46 UTC
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