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Trace Elemental Imaging of Rare Earth Elements Discriminates Tissues at Microscale in Flat Fossils

Overview of attention for article published in PLOS ONE, January 2014
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Title
Trace Elemental Imaging of Rare Earth Elements Discriminates Tissues at Microscale in Flat Fossils
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0086946
Pubmed ID
Authors

Pierre Gueriau, Cristian Mocuta, Didier B. Dutheil, Serge X. Cohen, Dominique Thiaudière, Sylvain Charbonnier, Gaël Clément, Loïc Bertrand

Abstract

The interpretation of flattened fossils remains a major challenge due to compression of their complex anatomies during fossilization, making critical anatomical features invisible or hardly discernible. Key features are often hidden under greatly preserved decay prone tissues, or an unpreparable sedimentary matrix. A method offering access to such anatomical features is of paramount interest to resolve taxonomic affinities and to study fossils after a least possible invasive preparation. Unfortunately, the widely-used X-ray micro-computed tomography, for visualizing hidden or internal structures of a broad range of fossils, is generally inapplicable to flattened specimens, due to the very high differential absorbance in distinct directions. Here we show that synchrotron X-ray fluorescence spectral raster-scanning coupled to spectral decomposition or a much faster Kullback-Leibler divergence based statistical analysis provides microscale visualization of tissues. We imaged exceptionally well-preserved fossils from the Late Cretaceous without needing any prior delicate preparation. The contrasting elemental distributions greatly improved the discrimination of skeletal elements material from both the sedimentary matrix and fossilized soft tissues. Aside content in alkaline earth elements and phosphorus, a critical parameter for tissue discrimination is the distinct amounts of rare earth elements. Local quantification of rare earths may open new avenues for fossil description but also in paleoenvironmental and taphonomical studies.

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Geographical breakdown

Country Count As %
Italy 1 2%
France 1 2%
Switzerland 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 6 14%
Student > Master 6 14%
Student > Bachelor 4 10%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Earth and Planetary Sciences 16 38%
Agricultural and Biological Sciences 7 17%
Materials Science 5 12%
Chemistry 3 7%
Social Sciences 1 2%
Other 2 5%
Unknown 8 19%