B07-B1-Versatile Soft X-ray beamline: High Throughput ES1
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Lewis G.
Parker
,
Frances K.
Towers Tompkins
,
Jake M.
Seymour
,
Ekaterina
Gousseva
,
Christopher D.
Smith
,
Roger A.
Bennett
,
Pilar
Ferrer
,
David C.
Grinter
,
Claudia
Kolbeck
,
Dennis
Hein
,
Garlef
Wartner
,
Robert
Seidel
,
Denis
Céolin
,
Robert
Temperton
,
Robert G.
Palgrave
,
Richard P.
Matthews
,
Kevin R. J.
Lovelock
Diamond Proposal Number(s):
[33378, 35207, 36765, 36196]
Open Access
Abstract: Anion interactions with cations/molecules are crucial across chemistry and biology: in battery electrolytes, synthesis, atmospheric processes, and protein denaturation. Selecting the optimum anion represents an immense challenge, as anion interactions are diverse and complex. Descriptors are needed that quantitatively capture the ability of anions to interact with cations and molecules. However, only a small number of experimental anion interaction descriptors exist, all with similar limitations. Here we show that core-level anion electron binding energies, EB(core,anion), can be used to produce a new atomic-level descriptor for each of the key donor elements for anion interactions (O, N, F, Cl, Br, I, S), the element-specific donor number (DNE-XPS). DNE-XPS descriptors are intrinsic, capturing the anion interaction abilities independent of any probe, countercation, or solvent. DNE-XPS descriptors are also interpretable, as EB(core,anion) and therefore DNE-XPS are proportional to the electrostatic potential at the specific donor atom nucleus. Experimental core-level X-ray photoelectron spectroscopy (XPS) is used to measure EB(core,anion) and therefore DNE-XPS. Furthermore, DNE-XPS descriptors are produced easily and at low cost using lone-anion-SMD (solvation model density) calculations, a significant advance on the current anion descriptors, greatly reducing and potentially removing the need for experimental anion characterization. This work will greatly facilitate anion selection, especially for complex anions capable of forming interactions through multiple different atoms. We envisage our calculation method enabling the production of a very large database of DNE-XPS for each key element, ideal for use as machine learning training data sets.
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Aug 2026
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I19-Small Molecule Single Crystal Diffraction
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Diamond Proposal Number(s):
[40212]
Open Access
Abstract: The `photometric selection' approach as a high throughput, sample tolerant, low cost and highly automatable method of carrying out serial crystallography is presented. Crystalline samples are loaded and distributed onto a simple transparent substrate and an in-line camera identifies crystals using image recognition algorithms from the computer vision project OpenCV. In contrast to established serial techniques, which generally require that crystal samples be refined with narrow size distributions and defined habits, the sample requirements when using photometric selection are shown to be minimal. We demonstrate how broadly effective photometric selection can be by collecting high-quality datasets from three exemplar systems: a small-molecule organometallic, a small-molecule organic and a metal–organic framework system. In contrast to previously established grid-scanning techniques, data collection using photometric selection can be up to six times faster.
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Jul 2026
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B23-Circular Dichroism
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Diamond Proposal Number(s):
[40646]
Open Access
Abstract: Microvolume UV–Vis and synchrotron radiation circular dichroism (SRCD) offer clear sustainability benefits by reducing sample and reagent consumption, yet their adoption is often limited by concerns over optical pathlength variability and low-volume dispensing inaccuracies. Here, we benchmark a μDrop™ Duo microplate workflow implemented on both a Multiskan SkyHigh spectrophotometer and the B23 HTCD/SRCD platform against conventional cuvette-based measurements, using a combination of per-well pathlength calibration, baseline subtraction, and rigorous pipetting validation. Across 32 wells, relative pathlengths showed measurable well-to-well variation, confirming that a single global correction factor is inadequate. Once corrected, microvolume spectra demonstrated quantitative agreement with cuvette references, supported by regression analysis, narrow Bland–Altman limits of agreement, and low baseline-region noise. Gravimetric evaluation of a multichannel pipette revealed substantial volume-dependent error at 20 µL, underscoring the importance of matching pipette class to microvolume operation and verifying performance under actual environmental conditions. Together, these results show that microvolume UV–Vis and SRCD workflows can achieve cuvette-level analytical reliability when appropriate calibration and QC procedures are applied. The study provides a three-tier set of best-practice recommendations—essential, recommended, and aspirational—designed to help laboratories implement greener workflows without compromising metrological integrity. This work demonstrates that sustainability and analytical performance can be mutually reinforcing when validation is embedded at each stage of microvolume analysis.
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Apr 2026
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I14-Hard X-ray Nanoprobe
I18-Microfocus Spectroscopy
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Diamond Proposal Number(s):
[39618, 39938, 302085, 31588, 5116, 36811]
Open Access
Abstract: Correlative microscopy linking synchrotron X-ray fluorescence (SXRF) with optical imaging is valuable for contextualizing chemical element distributions in biology. The spatial correlation necessary to achieve this presents fundamental challenges and can be a significant constraint on accuracy and data interpretation. We present a technical solution based on a finder grid concept, optimized for SXRF correlative studies of metals in biological tissues, with scope for wider adaptation and application. A hierarchically patterned fiducial system was directly etched onto spectroscopically clean quartz substrates via femtosecond laser ablation. This design enables improved correlation among SXRF, optical imaging, and histological staining over a greater range of length scales than conventional registration methods such as the use of tissue architecture from serial sections and the use of electron-microscopy-resolution finder grids and applied fiduciary markers that can introduce XRF-signal-dominating levels of elements such as copper, nickel, gold, and titanium. We present two quartz finder grid formats: a microgrid and a nanogrid design. We demonstrate their utility for rapid ROI relocalization and same-section correlative workflows using human brain tissue. The etched quartz finder grid approach facilitates rapid and reproducible ROI relocalization and alignment across instruments, particularly where integral fiducial markers are sparse or ambiguous.
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Mar 2026
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Open Access
Abstract: We present serial electron diffraction with tilt (t-SerialED), a method for fast autonomous phase and structural analysis of beam-sensitive, nano-sized polycrystalline materials. Unlike traditional workflows collecting datasets crystal by crystal, t-SerialED acquires datasets using a batch-by-batch approach, which speeds up the data acquisition. t-SerialED combines robust indexing from 3D reciprocal space with still-shot integration and merging methods from serial crystallography. t-SerialED enables high-throughput analysis of beam-sensitive, multi-phase mixtures across a wide range of materials, from nanoporous frameworks to pharmaceutical compounds. By resolving key challenges in serial crystallography such as indexing and preferred orientation, this method enables precise structure determination, including the visualization of guest molecules and non-covalent interactions like hydrogen bonding and proton charge transfer. Demonstrated on a range of samples from nanoporous materials to pharmaceuticals, t-SerialED expands the capabilities of serial chemical crystallography from single-phase to complex multi-phase systems. It can become a complementary method to traditional crystallography methods, offering a robust solution for routine quantitative phase analysis and structure determination.
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Oct 2025
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I15-1-X-ray Pair Distribution Function (XPDF)
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Janis
Timoshenko
,
David
Kordus
,
Jette K.
Mathiesen
,
Uta
Hejral
,
Patrik
Zeller
,
Gereon
Behrendt
,
Eylül
Öztuna
,
Jihao
Wang
,
Zahra
Gheisari
,
Rene
Eckert
,
Stephan
Reitmeier
,
Andreas
Reitzmann
,
Holger
Ruland
,
Jan
Folke
,
Thomas
Lunkenbein
,
Beatriz
Roldan Cuenya
Diamond Proposal Number(s):
[28439]
Open Access
Abstract: Sample homogeneity on the microscopic scale is critical for the reliable interpretation of x-ray absorption spectra collected in transmission mode. Unfortunately, it is not always easy to ensure it in practice. Especially in operando studies of catalysts and functional materials, the microstructure of the sample can evolve during its operation and even become the key descriptor for understanding structure-property relationships of the material, as exemplified by the transformations taking place in technical iron-based catalysts for ammonia synthesis under operating conditions. Here we present a simple approach for the identification and quantification of the material's microgranular structure effect on its x-ray absorption spectrum. We demonstrate that the quantitative information on the sizes of microscopic sample particles can be extracted from the observed distortions in the x-ray absorption near-edge structure spectra. The obtained insight can also be used to correct for the artifacts in extended x-ray absorption fine structure fitting, associated with the presence of microscopic inhomogeneities in the sample.
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Jul 2025
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I19-Small Molecule Single Crystal Diffraction
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Diamond Proposal Number(s):
[33014, 35357]
Open Access
Abstract: The increasing availability of ultrabright Light Sources is facilitating the study of smaller crystals at faster timescales but with an increased risk of severe X-ray damage, leading to developments in multi-crystal methods such as serial crystallography (SX). SX studies on crystals with small unit cells are challenging as very few reflections are recorded in a single data image, making it difficult to determine the orientation matrix for each crystal and thus preventing the combination of the data from all crystals for structure solution. We herein present a Small-Rotative Fixed-Target Serial Synchrotron Crystallography (SR-FT-SSX) methodology, in which rotation of the serial target through a small diffraction angle at each crystal delivers high-quality data, facilitating ab initio unit cell determination and atomic-scale structure solution. The method is benchmarked using microcrystals of the small-molecule photoswitch sodium nitroprusside dihydrate, obtaining complete data to dmin = 0.6 Å by combining just 66 partial datasets selected against rigorous quality criteria.
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Nov 2024
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I18-Microfocus Spectroscopy
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Diamond Proposal Number(s):
[31385]
Open Access
Abstract: A free-standing and compact reaction cell for combined in situ/operando x-ray spectroscopy, scattering, and imaging measurements at high pressures and high temperatures is described. The cell permits measurements under realistic operating conditions (up to 50 bar and 1000 °C), under static and flow conditions (up to 100 ml/min), over a wide range of hard x-ray energies, variable detection modes (transmission, fluorescence, and scattering), and at all angles of rotation. An operando XAS, x-ray fluorescence, x-ray computed tomography, and x-ray diffraction computed tomography case study on the reduction of a heterogeneous catalyst is presented to illustrate the performance of the reaction cell.
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Oct 2024
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I20-Scanning-X-ray spectroscopy (XAS/XES)
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Diamond Proposal Number(s):
[28859, 30113]
Open Access
Abstract: Here, the novel technique of extended-range high-energy-resolution fluorescence detection (XR-HERFD) has successfully observed the n = 2 satellite in manganese to a high accuracy. The significance of the satellite signature presented is many hundreds of standard errors and well beyond typical discovery levels of three to six standard errors. This satellite is a sensitive indicator for all manganese-containing materials in condensed matter. The uncertainty in the measurements has been defined, which clearly observes multiple peaks and structure indicative of complex physical quantum-mechanical processes. Theoretical calculations of energy eigenvalues, shake-off probability and Auger rates are also presented, which explain the origin of the satellite from physical n = 2 shake-off processes. The evolution in the intensity of this satellite is measured relative to the full Kα spectrum of manganese to investigate satellite structure, and therefore many-body processes, as a function of incident energy. Results demonstrate that the many-body reduction factor S02 should not be modelled with a constant value as is currently done. This work makes a significant contribution to the challenge of understanding many-body processes and interpreting HERFD or resonant inelastic X-ray scattering spectra in a quantitative manner.
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Jul 2024
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I23-Long wavelength MX
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Yishun
Lu
,
Ramona
Duman
,
James
Beilsten-Edmands
,
Graeme
Winter
,
Mark
Basham
,
Gwyndaf
Evans
,
Jos J. A. G.
Kamps
,
Allen M.
Orville
,
Hok-Sau
Kwong
,
Konstantinos
Beis
,
Wesley
Armour
,
Armin
Wagner
Open Access
Abstract: rocessing of single-crystal X-ray diffraction data from area detectors can be separated into two steps. First, raw intensities are obtained by integration of the diffraction images, and then data correction and reduction are performed to determine structure-factor amplitudes and their uncertainties. The second step considers the diffraction geometry, sample illumination, decay, absorption and other effects. While absorption is only a minor effect in standard macromolecular crystallography (MX), it can become the largest source of uncertainty for experiments performed at long wavelengths. Current software packages for MX typically employ empirical models to correct for the effects of absorption, with the corrections determined through the procedure of minimizing the differences in intensities between symmetry-equivalent reflections; these models are well suited to capturing smoothly varying experimental effects. However, for very long wavelengths, empirical methods become an unreliable approach to model strong absorption effects with high fidelity. This problem is particularly acute when data multiplicity is low. This paper presents an analytical absorption correction strategy (implemented in new software AnACor) based on a volumetric model of the sample derived from X-ray tomography. Individual path lengths through the different sample materials for all reflections are determined by a ray-tracing method. Several approaches for absorption corrections (spherical harmonics correction, analytical absorption correction and a combination of the two) are compared for two samples, the membrane protein OmpK36 GD, measured at a wavelength of λ = 3.54 Å, and chlorite dismutase, measured at λ = 4.13 Å. Data set statistics, the peak heights in the anomalous difference Fourier maps and the success of experimental phasing are used to compare the results from the different absorption correction approaches. The strategies using the new analytical absorption correction are shown to be superior to the standard spherical harmonics corrections. While the improvements are modest in the 3.54 Å data, the analytical absorption correction outperforms spherical harmonics in the longer-wavelength data (λ = 4.13 Å), which is also reflected in the reduced amount of data being required for successful experimental phasing.
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Jun 2024
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