Quantitative 3D elemental microtomography of Cyclotella meneghiniana at 400-nm resolution
| Autor: | Martin D. de Jonge, Chris Jacobsen, Stephen B. Baines, Christian Holzner, Daniel Legnini, Julia M. Diaz, Ian McNulty, Antonino Miceli, Daryl L. Howard, Benjamin S. Twining, Konstantin Ignatyev, Stefan Vogt |
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| Rok vydání: | 2010 |
| Předmět: |
Diatoms
Multidisciplinary Frustule biology Resolution (electron density) Cyclotella meneghiniana Analytical chemistry Mineralogy biology.organism_classification Fluorescence Trace Elements Biological specimen Eukaryotic Cells Physical Sciences Environmental science Tomography Tomography X-Ray Computed Image resolution Fluorescence tomography |
| Zdroj: | Proceedings of the National Academy of Sciences. 107:15676-15680 |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1073/pnas.1001469107 |
| Popis: | X-ray fluorescence tomography promises to map elemental distributions in unstained and unfixed biological specimens in three dimensions at high resolution and sensitivity, offering unparalleled insight in medical, biological, and environmental sciences. X-ray fluorescence tomography of biological specimens has been viewed as impractical—and perhaps even impossible for routine application—due to the large time required for scanning tomography and significant radiation dose delivered to the specimen during the imaging process. Here, we demonstrate submicron resolution X-ray fluorescence tomography of a whole unstained biological specimen, quantifying three-dimensional distributions of the elements Si, P, S, Cl, K, Ca, Mn, Fe, Cu, and Zn in the freshwater diatom Cyclotella meneghiniana with 400-nm resolution, improving the spatial resolution by over an order of magnitude. The resulting maps faithfully reproduce cellular structure revealing unexpected patterns that may elucidate the role of metals in diatom biology and of diatoms in global element cycles. With anticipated improvements in data acquisition and detector sensitivity, such measurements could become routine in the near future. |
| Databáze: | OpenAIRE |
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