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Dive into the research topics where Sheridan C. Mayo is active.

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Featured researches published by Sheridan C. Mayo.


Nature Communications | 2011

A new method to position and functionalize metal-organic framework crystals

Paolo Falcaro; Anita J. Hill; Kate M. Nairn; Jacek J. Jasieniak; J. Mardel; Timothy J. Bastow; Sheridan C. Mayo; Michele Gimona; Daniel E. Gómez; Harold J. Whitfield; Raffaele Ricco; Alessandro Patelli; Benedetta Marmiroli; Heinz Amenitsch; Tobias Colson; Laura Villanova; Dario Buso

With controlled nanometre-sized pores and surface areas of thousands of square metres per gram, metal-organic frameworks (MOFs) may have an integral role in future catalysis, filtration and sensing applications. In general, for MOF-based device fabrication, well-organized or patterned MOF growth is required, and thus conventional synthetic routes are not suitable. Moreover, to expand their applicability, the introduction of additional functionality into MOFs is desirable. Here, we explore the use of nanostructured poly-hydrate zinc phosphate (α-hopeite) microparticles as nucleation seeds for MOFs that simultaneously address all these issues. Affording spatial control of nucleation and significantly accelerating MOF growth, these α-hopeite microparticles are found to act as nucleation agents both in solution and on solid surfaces. In addition, the introduction of functional nanoparticles (metallic, semiconducting, polymeric) into these nucleating seeds translates directly to the fabrication of functional MOFs suitable for molecular size-selective applications.


Materials | 2012

In-Line Phase-Contrast X-ray Imaging and Tomography for Materials Science

Sheridan C. Mayo; Andrew W. Stevenson; Stephen W. Wilkins

X-ray phase-contrast imaging and tomography make use of the refraction of X-rays by the sample in image formation. This provides considerable additional information in the image compared to conventional X-ray imaging methods, which rely solely on X-ray absorption by the sample. Phase-contrast imaging highlights edges and internal boundaries of a sample and is thus complementary to absorption contrast, which is more sensitive to the bulk of the sample. Phase-contrast can also be used to image low-density materials, which do not absorb X-rays sufficiently to form a conventional X-ray image. In the context of materials science, X-ray phase-contrast imaging and tomography have particular value in the 2D and 3D characterization of low-density materials, the detection of cracks and voids and the analysis of composites and multiphase materials where the different components have similar X-ray attenuation coefficients. Here we review the use of phase-contrast imaging and tomography for a wide variety of materials science characterization problems using both synchrotron and laboratory sources and further demonstrate the particular benefits of phase contrast in the laboratory setting with a series of case studies.


Applied Optics | 2004

Optical phase retrieval by use of first Born-and rytov-type approximations

Timur E. Gureyev; Timothy J. Davis; Andrew Pogany; Sheridan C. Mayo; Stephen W. Wilkins

The first Born and Rytov approximations of scattering theory are introduced in their less familiar near-field versions. Two algorithms for phase retrieval based on these approximations are then described. It is shown theoretically and by numerical simulations that, despite the differences in their formulation, the two algorithms deliver fairly similar results when used for optical phase retrieval in the near and intermediate fields. The algorithms are applied to derive explicit solutions to four phase-retrieval problems of practical relevance to quantitative phase-contrast imaging and tomography. An example of successful phase reconstruction by use of the Born-type algorithm with an experimental x-ray image is presented.


ACS Nano | 2013

Quantification of ZnO Nanoparticle Uptake, Distribution, and Dissolution within Individual Human Macrophages

Simon A. James; Bryce Feltis; Martin D. de Jonge; Manoj Sridhar; Justin A. Kimpton; Matteo Altissimo; Sheridan C. Mayo; Changxi Zheng; Andrew Hastings; Daryl L. Howard; David Paterson; Paul F. A. Wright; Gareth Moorhead; Terence W. Turney; Jing Fu

The usefulness of zinc oxide (ZnO) nanoparticles has led to their wide distribution in consumer products, despite only a limited understanding of how this nanomaterial behaves within biological systems. From a nanotoxicological viewpoint the interaction(s) of ZnO nanoparticles with cells of the immune system is of specific interest, as these nanostructures are readily phagocytosed. In this study, rapid scanning X-ray fluorescence microscopy was used to assay the number ZnO nanoparticles associated with ∼1000 individual THP-1 monocyte-derived human macrophages. These data showed that nanoparticle-treated cells endured a 400% elevation in total Zn levels, 13-fold greater than the increase observed when incubated in the presence of an equitoxic concentration of ZnCl2. Even after excluding the contribution of internalized nanoparticles, Zn levels in nanoparticle treated cells were raised ∼200% above basal levels. As dissolution of ZnO nanoparticles is critical to their cytotoxic response, we utilized a strategy combining ion beam milling, X-ray fluorescence and scanning electron microscopy to directly probe the distribution and composition of ZnO nanoparticles throughout the cellular interior. This study demonstrated that correlative photon and ion beam imaging techniques can provide both high-resolution and statistically powerful information on the biology of metal oxide nanoparticles at the single-cell level. Our approach promises ready application to broader studies of phenomena at the interface of nanotechnology and biology.


Journal of Structural Biology | 2010

Micron-scale 3D imaging of wood and plant microstructure using high-resolution X-ray phase-contrast microtomography

Sheridan C. Mayo; Fiona Chen; Robert Evans

The structure of wood on a range of length-scales is critical to the performance and properties of this industrially important natural material. Much analysis of wood on the micron-scale upwards is carried out in two dimensions using optical microscopy. In recent years, however, three-dimensional (3D) analysis using X-ray microtomography has proved to be of increasing interest, providing volumetric data without the risk of damage from physical sectioning. In the present work we explore the potential of laboratory-based phase-contrast X-ray microtomography for analysis of wood microstructure on the micron scale. 3D datasets with quality enhanced by the use of phase-contrast, have been obtained for a number of different wood specimens. Segmentation of the datasets followed by different types of quantitative analysis is also successfully demonstrated, confirming the value of this technique for high-resolution analysis of 3D wood microstructure.


Analytical and Bioanalytical Chemistry | 2011

Quantitative comparison of preparation methodologies for x-ray fluorescence microscopy of brain tissue

Simon A. James; Damian E. Myers; Martin D. de Jonge; Stefan Vogt; C.G. Ryan; Brett A. Sexton; Pamela Hoobin; David Paterson; Daryl L. Howard; Sheridan C. Mayo; Matteo Altissimo; Gareth Moorhead; Stephen W. Wilkins

X-ray fluorescence microscopy (XFM) facilitates high-sensitivity quantitative imaging of trace metals at high spatial resolution over large sample areas and can be applied to a diverse range of biological samples. Accurate determination of elemental content from recorded spectra requires proper calibration of the XFM instrument under the relevant operating conditions. Here, we describe the manufacture, characterization, and utilization of multi-element thin-film reference foils for use in calibration of XFM measurements of biological and other specimens. We have used these internal standards to assess the two-dimensional distribution of trace metals in a thin tissue section of a rat hippocampus. The data used in this study was acquired at the XFM beamline of the Australian Synchrotron using a new 384-element array detector (Maia) and at beamline 2-ID-E at the Advanced Photon Source. Post-processing of samples by different fixation techniques was investigated, with the conclusion that differences in solvent type and sample handling can significantly alter elemental content. The present study highlights the quantitative capability, high statistical power, and versatility of the XFM technique for mapping trace metals in biological samples, e.g., brain tissue samples in order to help understand neurological processes, especially when implemented in conjunction with a high-performance detector such as Maia.


PLOS ONE | 2012

Caenorhabditis elegans Maintains Highly Compartmentalized Cellular Distribution of Metals and Steep Concentration Gradients of Manganese

Gawain McColl; Simon A. James; Sheridan C. Mayo; Daryl L. Howard; C.G. Ryan; Robin Kirkham; Gareth Moorhead; David Paterson; Martin D. de Jonge; Ashley I. Bush

Bioinorganic chemistry is critical to cellular function. Homeostasis of manganese (Mn), for example, is essential for life. A lack of methods for direct in situ visualization of Mn and other biological metals within intact multicellular eukaryotes limits our understanding of management of these metals. We provide the first quantitative subcellular visualization of endogenous Mn concentrations (spanning two orders of magnitude) associated with individual cells of the nematode, Caenorhabditis elegans.


Journal of Synchrotron Radiation | 2012

Analysis and interpretation of the first monochromatic X-ray tomography data collected at the Australian Synchrotron Imaging and Medical beamline.

Andrew W. Stevenson; C. Hall; Sheridan C. Mayo; Daniel Häusermann; Anton Maksimenko; Timur E. Gureyev; Yakov Nesterets; Stephen W. Wilkins; Robert A. Lewis

The first monochromatic X-ray tomography experiments conducted at the Imaging and Medical beamline of the Australian Synchrotron are reported. The sample was a phantom comprising nylon line, Al wire and finer Cu wire twisted together. Data sets were collected at four different X-ray energies. In order to quantitatively account for the experimental values obtained for the Hounsfield (or CT) number, it was necessary to consider various issues including the point-spread function for the X-ray imaging system and harmonic contamination of the X-ray beam. The analysis and interpretation of the data includes detailed considerations of the resolution and efficiency of the CCD detector, calculations of the X-ray spectrum prior to monochromatization, allowance for the response of the double-crystal Si monochromator used (via X-ray dynamical theory), as well as a thorough assessment of the role of X-ray phase-contrast effects. Computer simulations relating to the tomography experiments also provide valuable insights into these important issues. It was found that a significant discrepancy between theory and experiment for the Cu wire could be largely resolved in terms of the effect of the point-spread function. The findings of this study are important in respect of any attempts to extract quantitative information from X-ray tomography data, across a wide range of disciplines, including materials and life sciences.


Materials Science Forum | 2010

Microstructure of a Paint Primer - a Data-Constrained Modeling Analysis

Sam Yang; Da Chao Gao; Tim H. Muster; Andrew Tulloh; Scott A. Furman; Sheridan C. Mayo; Adrian Trinchi

Metallic aerospace components are commonly painted with a primer to improve their corrosion resistance. The primer contains a polymer matrix with embedded corrosion inhibitor and filler particles. Its performance is determined by the microscopic distributions of the particles. Various techniques have been used to quantify such distributions, including X-ray micro-computed tomography (CT). However, its success is sometimes limited by factors such as different particles having similar X-ray CT absorption properties and their size being smaller than the resolution of micro-CT. In this paper, we have performed two X-ray CT measurements on a paint primer sample consisting of SrCrO4 corrosion inhibitor particles and UV-absorbing TiO2 filler particles. Fe and Ti targets were used as X-ray sources with different spectral distributions. The measured CT data sets were used as constraints for a data-constrained microstructure modeling (DCM) prediction of the sample’s microscopic structures. DCM model predictions were compared with experimental elemental surface maps and showed reasonable degree of agreement, suggesting X-ray micro-CT combined with DCM modeling would be a powerful technique for detailing the dynamics of chromate-inhibited primers and other multiphase systems where the components are sensitive to incident X-ray energy.


Journal of Synchrotron Radiation | 2015

A feasibility study of X-ray phase-contrast mammographic tomography at the Imaging and Medical beamline of the Australian Synchrotron

Yakov Nesterets; Timur E. Gureyev; Sheridan C. Mayo; Andrew W. Stevenson; Darren Thompson; Jeremy Michael Cooney Brown; Marcus J. Kitchen; Konstantin M. Pavlov; Darren Lockie; Francesco Brun; Giuliana Tromba

Results are presented of a recent experiment at the Imaging and Medical beamline of the Australian Synchrotron intended to contribute to the implementation of low-dose high-sensitivity three-dimensional mammographic phase-contrast imaging, initially at synchrotrons and subsequently in hospitals and medical imaging clinics. The effect of such imaging parameters as X-ray energy, source size, detector resolution, sample-to-detector distance, scanning and data processing strategies in the case of propagation-based phase-contrast computed tomography (CT) have been tested, quantified, evaluated and optimized using a plastic phantom simulating relevant breast-tissue characteristics. Analysis of the data collected using a Hamamatsu CMOS Flat Panel Sensor, with a pixel size of 100 µm, revealed the presence of propagation-based phase contrast and demonstrated significant improvement of the quality of phase-contrast CT imaging compared with conventional (absorption-based) CT, at medically acceptable radiation doses.

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Yakov Nesterets

Commonwealth Scientific and Industrial Research Organisation

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Stephen W. Wilkins

Commonwealth Scientific and Industrial Research Organisation

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Giuliana Tromba

Elettra Sincrotrone Trieste

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Darren Thompson

Commonwealth Scientific and Industrial Research Organisation

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Christian Dullin

Elettra Sincrotrone Trieste

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Chris Hall

Australian Synchrotron

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