Element distribution imaging in rat kidney using a 2D rapid scan EDXRF device

Authors

  • R.G. Figueroa
  • E. Lozano
  • G. Bongiovanni

Keywords:

XRF-Imaging, biological samples, multi-elemental mapping

Abstract

Visualization of elemental distributions of biological tissue is gaining importance in many disciplines of biological, forensic, and medical research. Furthermore, the maps of elements have wide application in archeology for the understanding of the pigments, modes of preservation and environmental context. Since major advances in relation to collimators and detectors have yielded micro scale images, the chemical mapping via synchrotron scanning micro-X-ray fluorescence spectrometry (SR-$\mu $XRF) is widely used as microanalytical techniques. However, the acquisition time is a limitation of current SR-$\mu $XRF imaging protocols, doing tedious micro analysis of samples of more than 1 cm and very difficult to study of larger samples such as animal organ, whole organisms, work of art, etc. Recently we have developed a robotic system to image the chemistry of large specimens rapidly at concentration levels of parts per million. Multiple images of distribution of elements can be obtained on surfaces of 100x100 mm and a spatial resolution of up to 0.2 mm$^{2}$ per pixel, with a spectral capture time up to 1 ms per point. This system has proven to be highly efficient for the XRF mapping of elements in large biological samples, achieving comparables results to those obtained by SR-$\mu $XRF. Thus, images of As and Cu accumulation in renal cortex of arsenic-exposed rats were obtained by both methodologies. However, the new imaging system enables the XRF scanning in few minutes, whereas SR-$\mu $XRF required several hours. These and other advantages as well as the potential applications of this system, will be discussed.

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Published

2013-01-01

How to Cite

[1]
R. Figueroa, E. Lozano, and G. Bongiovanni, “Element distribution imaging in rat kidney using a 2D rapid scan EDXRF device”, Rev. Mex. Fís., vol. 59, no. 4, pp. 292–0, Jan. 2013.