Literature DB >> 35512669

X-ray fluorescence microscopy methods for biological tissues.

M Jake Pushie1, Nicole J Sylvain1,2, Huishu Hou1, Mark J Hackett3,4, Michael E Kelly1, Samuel M Webb5.   

Abstract

Synchrotron-based X-ray fluorescence microscopy is a flexible tool for identifying the distribution of trace elements in biological specimens across a broad range of sample sizes. The technique is not particularly limited by sample type and can be performed on ancient fossils, fixed or fresh tissue specimens, and in some cases even live tissue and live cells can be studied. The technique can also be expanded to provide chemical specificity to elemental maps, either at individual points of interest in a map or across a large field of view. While virtually any sample type can be characterized with X-ray fluorescence microscopy, common biological sample preparation methods (often borrowed from other fields, such as histology) can lead to unforeseen pitfalls, resulting in altered element distributions and concentrations. A general overview of sample preparation and data-acquisition methods for X-ray fluorescence microscopy is presented, along with outlining the general approach for applying this technique to a new field of investigation for prospective new users. Considerations for improving data acquisition and quality are reviewed as well as the effects of sample preparation, with a particular focus on soft tissues. The effects of common sample pretreatment steps as well as the underlying factors that govern which, and to what extent, specific elements are likely to be altered are reviewed along with common artifacts observed in X-ray fluorescence microscopy data.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Keywords:  X-ray fluorescence microscopy; XFI; XFM; biological samples; chemical speciation; imaging; mapping

Mesh:

Substances:

Year:  2022        PMID: 35512669      PMCID: PMC9226457          DOI: 10.1093/mtomcs/mfac032

Source DB:  PubMed          Journal:  Metallomics        ISSN: 1756-5901            Impact factor:   4.636


  113 in total

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  2 in total

1.  Multimodal imaging of hemorrhagic transformation biomarkers in an ischemic stroke model.

Authors:  M J Pushie; M Messmer; N J Sylvain; J Heppner; J M Newton; H Hou; M J Hackett; M E Kelly; L Peeling
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2.  Sex differences in the mouse photothrombotic stroke model investigated with X-ray fluorescence microscopy and Fourier transform infrared spectroscopic imaging.

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