SuperSTEM

Vibrational electron energy-loss spectroscopy (vibEELS) measures the bonding environment of molecules with high spatial resolution. Here, we demonstrate that vibEELS can be used to identify site-specific vibrational signatures of selectively labelled functional groups in unnatural amino acids. We have examined the utility of trifluorination of methionine, obtained by site-directed conversion of carbon-hydrogen (C–H) bonds to carbon–fluorine (C–F) bonds. Fluorine is considered to be a ‘zero-size’ label and can be used for minimally invasive chemical alterations of proteins. The vibEEL spectra of trifluoromethionine (Tfm) directly records the C–F stretching mode, characteristic of the trifluoromethyl (CF3) functional group, for comparison with infrared spectra collected from the same sample. However, the EELS data have superior spatial resolution and as the vibrational response is localised at the nanometer level, large, macroscopic volumes of samples are not required for measurements. For these reasons the use of vibEELS with site-selective incorporation enables the possibility of spatially tracking selectively modified protein labels in the electron microscope for the study of biological pathways and protein structure dynamics with high spatial resolution.

Journal Article Probing the Atomic-Scale Internal Phases with the Electron Beam of Mutliferroic Domain Walls Formed During Dynamics Get access Michele Shelly Conroy, Michele Shelly Conroy Department of Materials, London Centre of Nanotechnology, Henry Royce Institute, Imperial College London, UK Corresponding author: mconroy@imperial.ac.uk Search for other works by this author on: Oxford Academic Google Scholar Eoghan O'Connell, Eoghan O'Connell Max Planck Institute for the Science of Light, Erlangen, Germany Search for other works by this author on: Oxford Academic Google Scholar Kalani Moore, Kalani Moore Direct Electron, California, United States Search for other works by this author on: Oxford Academic Google Scholar Lewys Jones, Lewys Jones School of Physics, Advanced Microscopy Laboratory, Trinity College Dublin, Dublin, Ireland Search for other works by this author on: Oxford Academic Google Scholar Quentin Ramasse, Quentin Ramasse SuperSTEM, SciTech Daresbury Science & Innovation Campus, & University of Leeds, UK Search for other works by this author on: Oxford Academic Google Scholar Sinead Griffin, Sinead Griffin Molecular Foundry Lawrence Berkeley National Laboratory, USA Search for other works by this author on: Oxford Academic Google Scholar Colin Ophus Colin Ophus Molecular Foundry Lawrence Berkeley National Laboratory, USANational Center for Electron Microscopy, Lawrence Berkeley National Laboratory, USA Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 29, Issue Supplement_1, 1 August 2023, Page 1363, https://doi.org/10.1093/micmic/ozad067.699 Published: 22 July 2023

Multidimensional data analysis

diffsims is an open-source Python library for diffraction simulations. This minor release provides some new features and internal improvements. The code remains in active development and updating to this version may break existing code, despite our efforts to make it clear when diffsims changes in a "breaking" fashion. See the list of closed PR's and issues avaliable here for details. Overview A range of internal changes have been made that improve speed, accuracy and readability. These most notably effect the generation of rotation list (which now makes use of the package orix) and the organisation of "geometric" (as opposed to "atomic") kinematical spot pattern simulations. Breaking changes Almost all functionality that has been touched in this release may have changed incompatibly with the previous minor version. New Features Kinematical scaling functions can now be specified by the user (#118) Simulation code that previously lived in pyxem has been migrated here (#101) A new class, <code>ReciprocalLatticePoint</code> for storing a crystal structure has been implemented (#111) Improvements Rotation list grids have been substantially improved by making use of orix (#104 and #115) Bugfixes Multiple bugfixes for <code>ProfileSimulation</code> and associated methods (#102 and #119) Misc and Dev The credits now accurately reflect the contribution of @robtovey (#113)

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

&lt;p&gt;This is a maintenance release. Follow the following links for details on all the &lt;a href="https://github.com/hyperspy/hyperspy/issues?q=label%3A%22type%3A+bug%22+is%3Aclosed+milestone%3Av1.4.1"&gt;bugs fixed&lt;/a&gt; and &lt;a href="https://github.com/hyperspy/hyperspy/issues?q=is%3Aclosed+milestone%3Av1.4.1+label%3A%22type%3A+enhancement%22"&gt;enhancements&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;This release fixes compatibility issues with Python 3.7.&lt;/p&gt;

Doping with zirconia controls A site cation ordering in Sr0.9Nd0.1TiO3 and significantly enhances the thermoelectric power factor.

Journal Article Study of Structure of Li- and Mn-rich Transition Metal Oxides Using 4D-STEM Get access Alpesh Khushalchand Shukla, Alpesh Khushalchand Shukla SuperSTEM, Daresbury, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Colin Ophus, Colin Ophus National Center of Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, United States Search for other works by this author on: Oxford Academic Google Scholar Christoph Gammer, Christoph Gammer University of Vienna, Vienna, Austria Search for other works by this author on: Oxford Academic Google Scholar Quentin Ramasse Quentin Ramasse SuperSTEM, Daresbury, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 22, Issue S3, 1 July 2016, Pages 494–495, https://doi.org/10.1017/S1431927616003329 Published: 25 July 2016