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Cited by 168

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Advances in functional X-ray imaging techniques and contrast agents

Open access
Chen, Hongyu, Rogalski, Melissa M., Anker, Jeffrey N.·2012·Physical Chemistry Chemical Physics

Abstract

X-rays have been used for non-invasive high-resolution imaging of thick biological specimens since their discovery in 1895. They are widely used for structural imaging of bone, metal implants, and cavities in soft tissue. Recently, a number of new contrast methodologies have emerged which are expanding X-ray's biomedical applications to functional as well as structural imaging. These techniques are promising to dramatically improve our ability to study in situ biochemistry and disease pathology. In this review, we discuss how X-ray absorption, X-ray fluorescence, and X-ray excited optical luminescence can be used for physiological, elemental, and molecular imaging of vasculature, tumors, pharmaceutical distribution, and the surface of implants. Imaging of endogenous elements, exogenous labels, and analytes detected with optical indicators will be discussed.

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Metadata

Authors
Chen, H., Rogalski, M. M., & Anker, J. N.
Venue
Physical Chemistry Chemical Physics
Published
2012
Volume
14
Issue
39
Pages
13469
ISSN
  • 1463-9076 (ISSN-L)
  • 1463-9084
OpenAlex
W2007027171
Cited by
168
References
3
FWCI
5.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Advances in functional X-ray imaging techniques and contrast agents. https://app.cochat.ai/papers/10.1039/c2cp41858d
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Chen, H., Rogalski, M. M., & Anker, J. N. (2012). Advances in functional X-ray imaging techniques and contrast agents. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c2cp41858d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.