DIAD-Dual Imaging and Diffraction Beamline
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Diamond Proposal Number(s):
[39247]
Open Access
Abstract: This work presents the design and development of a 3D printed flow cell tailored for X-ray computed microtomography of liquid–solid systems. The flow cell is manufactured using stereolithographic printing and utilizes a novel pillarless pull-through geometry. The use of the flow cell developed for K-11 DIAD (Dual Imaging and Diffraction beamline, Diamond Light Source, UK) is demonstrated with the in situ flow and selective recovery of an Sn precipitate from solution using an organic ligand. The 3D designs and components are made freely available with this publication.
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Mar 2026
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Abstract: The Ediacaran Period marks the first appearance of animal body fossils in the rock record. While the metazoan affinities of many late Ediacaran macrofossils are well established, their precise placement in the phylogenetic tree remains debated. Meiofaunal trace fossils potentially provide an alternative line of evidence for the presence of early branching bilaterian lineages, but their interpretation is complicated by their similarity with a range of different geological and biological structures. Here, we examine the oldest putative meiofaunal traces from the late Ediacaran (541 Ma) Tamengo Formation, Corumbá Group, Brazil, combining new material and a suite of analytical techniques to assess their morphology, spatial distribution, and preservation. Additionally, we report a newly discovered locality for these fossils, chronologically correlated with the classical outcrops in the Corumbá area through U-Pb radiometric dating of tuff zircons. Concordia ages obtained for the new locality are 544 ± 2.6 (LA-MC-ICP-MS) and 539.03 ± 2.27 Ma (LA-ICP-MS). Fossils from multiple localities exhibit features such as preserved cells, cell wall divisions, organic remains at cell walls, shared alignment, extreme diameter variations, and a lack of cross-cutting relationships. These characteristics are inconsistent with burrow-like trace fossils but are fully consistent with the interpretation as remains of pyritized filamentous organisms. The multimodal size distribution, with at least three distinct size classes, and their partial in-situ preservation further suggest that they represent different species, possibly living in a microbial consortium. While their exact biological affinities remain uncertain, the largest populations share similarities with benthic red or green algae, while the smallest populations could be algal, cyanobacterial or large sulfur-oxidizing bacteria. The preservation of these remains suggests that bioturbation, macrofaunal or meiofaunal, was limited or absent where and when these fossils formed.
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Feb 2026
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DIAD-Dual Imaging and Diffraction Beamline
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Diamond Proposal Number(s):
[38775]
Open Access
Abstract: Understanding the interactions between microstructure, strain, phase and material behavior is crucial in scientific fields such as energy storage, carbon sequestration and biomedical engineering. However, quantifying these correlations is challenging, as it requires the use of multiple instruments and techniques, often separated by space and time. The Dual Imaging and Diffraction (DIAD) beamline at Diamond Light Source is designed to address this challenge. DIAD allows its users to visualize internal structures (in two and three dimensions), identify compositional/phase changes and measure strain. It enables in situ and operando experiments that require spatially correlated information. DIAD provides two independent beams combined at one sample position, allowing `quasi-simultaneous' X-ray computed tomography and X-ray powder diffraction. A unique functionality of the DIAD configuration is the ability to perform `image-guided diffraction', where the micrometre-sized diffraction beam is scanned over the complete area of the imaging field of view without moving the specimen. This moving-beam diffraction geometry enables the study of fast-evolving and motion-susceptible processes and samples. Here, we discuss the novel moving-beam diffraction geometry, presenting the latest findings on the reliability of both the geometry calibration and the data-reduction routines used. We provide a comprehensive quantitative assessment of the moving-beam diffraction geometry implemented at the DIAD beamline, which will serve as a reference for beamline users. Our measurements confirm that diffraction is most sensitive to the moving-beam geometry for the conventional transmission geometry of the detector. The observed data confirm that the motion of the Kirkpatrick–Baez mirror coupled with a fixed-aperture slit results in a rigid translation of the beam probe, without affecting the angle of the incident-beam path to the sample. Our measurements demonstrate that a nearest-neighbor calibration can achieve the same accuracy as a self-calibrated geometry when the distance between the calibrated and probed sample regions is smaller than or equal to the beam spot size. The absolute error of the moving-beam diffraction geometry at DIAD with typical calibration setup remains below 0.01%, which is the accuracy we observe for the beamline with stable beam operation.
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Dec 2025
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DIAD-Dual Imaging and Diffraction Beamline
I12-JEEP: Joint Engineering, Environmental and Processing
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Franck P.
Vidal
,
Shaghayegh
Afshari
,
Sharif
Ahmed
,
Alberto
Albiol
,
Francisco
Albiol
,
Éric
Béchet
,
Alberto Corbí
Bellot
,
Stefan
Bosse
,
Simon
Burkhard
,
Younes
Chahid
,
Cheng-Ying
Chou
,
Robert
Culver
,
Pascal
Desbarats
,
Lewis
Dixon
,
Johan
Friemann
,
Amin
Garbout
,
Marcos
García-Lorenzo
,
Jean-François
Giovannelli
,
Ross
Hanna
,
Clémentine
Hatton
,
Audrey
Henry
,
Graham
Kelly
,
Christophe
Leblanc
,
Alberto
Leonardi
,
Jean Michel
Létang
,
Harry
Lipscomb
,
Tristan
Manchester
,
Bas
Meere
,
Claire
Michelet
,
Simon
Middleburgh
,
Radu P.
Mihail
,
Iwan
Mitchell
,
Liam
Perera
,
Martí
Puig
,
Malek
Racy
,
Ali
Rouwane
,
Hervé
Seznec
,
Aaron
Sújar
,
Jenna
Tugwell-Allsup
,
Pierre-Frédéric
Villard
Diamond Proposal Number(s):
[29820]
Open Access
Abstract: gVirtualXray (gVXR) is an open-source framework that relies on the Beer–Lambert law to simulate X-ray images in real time on a graphics processor unit (GPU) using triangular meshes. A wide range of programming languages is supported (C/C++, Python, R, Ruby, Tcl, C#, Java, and GNU Octave). Simulations generated with gVXR have been benchmarked with clinically realistic phantoms (i.e. complex structures and materials) using Monte Carlo (MC) simulations, real radiographs and real digitally reconstructed radiographs (DRRs), and X-ray computed tomography (XCT). It has been used in a wide range of applications, including real-time medical simulators, proposing a new densitometric radiographic modality in clinical imaging, studying noise removal techniques in fluoroscopy, teaching particle physics and X-ray imaging to undergraduate students in engineering, and XCT to masters students, predicting image quality and artifacts in material science, etc. gVXR has also been used to produce a high number of realistic simulated images in optimisation problems and to train machine learning algorithms. This paper presents a comprehensive review of such applications of gVXR.
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Nov 2025
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DIAD-Dual Imaging and Diffraction Beamline
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Bruno
Becker-Kerber
,
Jochen J.
Brocks
,
Nathaly L.
Archilha
,
Cristiane B.
Rodella
,
Valeri
Petkov
,
Eduardo R.
Deazevedo
,
Tairine
Pimentel
,
Rodrigo
Garcia
,
Duane
Petts
,
Janina
Czas
,
Omid H.
Ardakani
,
Anthony
Chappaz
,
Ângela
Albuquerque
,
Javier
Ortega-Hernández
,
Rudy
Lerosey-Aubril
,
Michael A.
Kipp
,
Benjamin
Johnson
,
Mathieu
Thoury
,
Cecilia M. A.
Oliveira
,
Hannah H. L. S. M.
Pimentel
,
Raul O.
Freitas
,
Flavio C.
Vicentin
,
Luiz G. F.
Borges
,
Jonathan
Almer
,
Jun-Sang
Park
,
Carla C.
Polo
,
Gilmar
Kerber
,
Lucas
Del Mouro
,
Milene
Figueiredo
,
Gustavo M. E. M.
Prado
,
Sharif
Ahmed
,
Miguel A. S.
Basei
Diamond Proposal Number(s):
[32319]
Open Access
Abstract: The origin of terrestrial life and ecosystems fundamentally changed the biosphere. Lichens, symbiotic fungi-algae partnerships, are crucial to nutrient cycling and carbon fixation today, yet their evolutionary history during the evolution of terrestrial ecosystems remains unclear due to a scarce fossil record. We demonstrate that the enigmatic Devonian fossil Spongiophyton from Brazil captures one of the earliest and most widespread records of lichens. The presence of internal hyphae networks, algal cells, possible reproductive structures, calcium oxalate pseudomorphs, abundant nitrogenous compounds, and fossil lipid composition confirms that it was among the first widespread representatives of lichenized fungi in Earth’s history. Spongiophyton abundance and wide paleogeographic distribution in Devonian successions reveal an ecologically prominent presence of lichens during the late stages of terrestrial colonization, just before the evolution of complex forest ecosystems.
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Oct 2025
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Open Access
Abstract: Background and aims: Certain plant species, including some trees, have been observed growing not only in soil but also in soil parent materials. However, the root traits and mechanisms enabling these species to penetrate soil parent materials are not yet thoroughly understood. This systematic review aims to identify and discuss the root traits and mechanisms that allow plant roots to grow into soil parent materials. It will also draw insights from the characteristics and mechanisms that plants employ to overcome the challenges posed by compacted soils. Methods: We adhered to the 'Preferred Reporting Items for Systematic Reviews and Meta-Analyses' (PRISMA) guidelines for our methodology. Results: We identified increased root radial pressure, investment in root biomass, fine root development, root trematotropism, mycorrhizal associations, root hairs, and root exudates as key traits aiding plants in soil penetration. The mentioned root traits and mechanisms have also been shown to help plants overcome compacted soil, except for mycorrhizal associations. Conclusion: The key root traits and mechanisms identified in this review lay the groundwork for a deeper understanding of root-soil parent material interactions and plant adaptations in changing physical environments. This enhances our ability to select the next generation of robust and resilient crops capable of thriving in complex root-soil parent material interactions. Future research on root-parent material interactions in food crops holds promise for improving our understanding of how crops can grow beyond traditional soil limitations (such as soil depth).
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Oct 2025
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DIAD-Dual Imaging and Diffraction Beamline
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James
Le Houx
,
Daniel
Mckay Fletcher
,
Alberto
Leonardi
,
Katherine A.
Williams
,
Nancy
Walker
,
Fernando
Alvarez-Borges
,
Ebrahim
Afsar Dizaj
,
Madhu
Murthy
,
Ronan
Smith
,
Liam
Perera
,
Navid
Aslani
,
Andrew
James
,
Sharif
Ahmed
,
Tiina
Roose
,
Siul
Ruiz
Diamond Proposal Number(s):
[30961, 32138, 33343]
Open Access
Abstract: Soil compaction and escalating global drought increase soil strength and stiffness. It remains unclear which plant root biomechanical mechanisms/traits enable growth in these harsh conditions. Here, we combine synchrotron X-ray computed tomography with spatially resolved X-ray diffraction to characterize the biomechanics of a replica root-soil system. We map the strain field around the root tip analog, finding strong agreement with finite element simulations, thereby demonstrating a promising new in vivo measurement protocol.
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Jul 2025
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Open Access
Abstract: Natural marine sediments are heterogeneous with respect to sediment-physical properties, and have a wide range in composition and structures. For many years, sediment-physical characterization has relied primarily on laboratory experiments. However, the investigation of small-(grain-)scale sedimentary structures, which appear to control many sediment (re-)depositional and emplacement mechanisms, requires new analytical methods. Here, we test high-resolution X-ray synchrotron micro-tomography (μCT) to qualitatively and quantitatively investigate structural differences, in 3D, between two lithological end-member types of marine sediments: a coarse-grained, sandy sediment and a fine-grained, silty-clay sediment. Our results show clear compositional and structural differences between the two end-members, as well as between samples taken from the same lithological unit. These differences can be attributed partly to different sediment types, that is, coarse-versus fine-grained sediments, but also reveal a dependency on the sedimentation regime. We find that pore space distribution is highly spatially variable, even down to a sub-millimeter scale. Such high variability in porosity would be missed by standard geotechnical experiments, which only provide information averaged over far larger sediment samples. The identification of small-(grain-)scale changes in pore space, however, directly impacts sediment properties such as permeability, which in turn is crucial for the understanding of geological processes such as fluid flow and storage capacity of sediments and assessing hazards such as the preconditioning of submerged slopes to collapse. Our results therefore demonstrate the potential of μCT to investigate the internal structure of natural sediments, obtaining information that is not resolved or lost in data acquired through other analytical methods.
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Apr 2025
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DIAD-Dual Imaging and Diffraction Beamline
I13-2-Diamond Manchester Imaging
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Diamond Proposal Number(s):
[32980]
Open Access
Abstract: Machine learning techniques are being increasingly applied in medical and physical sciences across a variety of imaging modalities; however, an important issue when developing these tools is the availability of good quality training data. Here we present a unique, multimodal synchrotron dataset of a bespoke zinc-doped Zeolite 13X sample that can be used to develop advanced deep learning and data fusion pipelines. Multi-resolution micro X-ray computed tomography was performed on a zinc-doped Zeolite 13X fragment to characterise its pores and features before spatially resolved X-ray diffraction computed tomography was carried out to characterise the topographical distribution of sodium and zinc phases. Zinc absorption was controlled to create a simple, spatially isolated, two-phase material. Both raw and processed data are available as a series of Zenodo entries. Altogether we present a spatially resolved, three-dimensional, multimodal, multi-resolution dataset that can be used to develop machine learning techniques. Such techniques include the development of super-resolution, multimodal data fusion, and 3D reconstruction algorithms.
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Feb 2025
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DIAD-Dual Imaging and Diffraction Beamline
I12-JEEP: Joint Engineering, Environmental and Processing
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Franck P.
Vidal
,
Shaghayegh
Afshari
,
Sharif
Ahmed
,
Carolyn
Atkins
,
Eric
Béchet
,
Alberto
Corbi Bellot
,
Stefan
Bosse
,
Younes
Chahid
,
Cheng-Ying
Chou
,
Robert
Culver
,
Lewis
Dixon
,
Johan
Friemann
,
Amin
Garbout
,
Clémentine
Hatton
,
Audrey
Henry
,
Christophe
Leblanc
,
Alberto
Leonardi
,
Jean Michel
Létang
,
Harry
Lipscom
,
Tristan
Manchester
,
Bas
Meere
,
Simon
Middleburgh
,
Iwan
Mitchell
,
Liam
Perera
,
Marti
Puig Fantauzzi
,
Jenna
Tugwell-Allsup
Diamond Proposal Number(s):
[29820]
Abstract: gVirtualXray (gVXR) is an open-source framework that relies on the Beer-Lambert law to simulate x-ray images in real time on a graphics processor unit (GPU) using triangular meshes. A wide range of programming languages is supported (C/C++, Python, R, Ruby, Tcl, C#, Java, and GNU Octave). Simulations generated with gVXR have been benchmarked with clinically realistic phantoms (i.e. complex structures and materials) using Monte Carlo (MC) simulations, real radiographs and real digitally reconstructed radiographs (DRRs), and x-ray computed tomography (CT). It has been used in a wide range of applications, including real-time medical simulators, proposing a new densitometric radiographic modality in clinical imaging, studying noise removal techniques in fluoroscopy, teaching particle physics and x-ray imaging to undergraduate students in engineering, and XCT to masters students, predicting image quality and artifacts in material science, etc. gVXR has also been used to produce a high number of realistic simulated images in optimization problems and to train machine learning algorithms. This paper presents applications of gVXR related to XCT.
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Oct 2024
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