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A non-common-path interferometric scheme enables holographic detection of single proteins of mass 90 kDa and estimation of single-protein polarizability.
The authors demonstrate 3D chemical imaging of organic and inorganic materials near or below one-nanometer resolution using multi-modal electron tomography, by fusing elastic and inelastic scattering signals.
Material properties prediction from a given microstructure is important for accelerated design but a comprehensive methodology is lacking. Here, a multi-method machine learning approach is utilized to understand the processing-structure-property relationship for differently processed porous materials.
Surface photovoltage microscopy as described in this protocol allows high spatial and energy resolution mapping of surface-charge distributions on photocatalyst particles, enabling rational design of improved materials.
Random-access wide-field mesoscopy enables the imaging of in vivo biodynamics in mice over an area of 160 mm2 and at a subcellular spatial resolution of about 2 μm.
Voids are known to impact the properties of materials, but the nanovoids also present are less well understood than macroscopic voids. Here, the authors utilise 3D imaging and graph theory to study nanovoid formation and impact on material properties.
A non-common-path interferometric scheme enables holographic detection of single proteins of mass 90 kDa and estimation of single-protein polarizability.
A distance-based mapping strategy using single-molecule fluorescence resonance energy transfer via DNA eXchange (FRET X) enables full-length fingerprinting of intact protein sequences.
The ability to extract information from diffuse background signals in ultrafast electron diffraction experiments now enables a direct view of the formation of topological defects during a light-induced phase transition.
The antiferromagnetic material haematite, named for its blood-red colour, hosts swirling spin vortices termed merons. The rotation sense of such antiferromagnetic vortices has now been imaged in real space.
Photoacoustic tomography can image fast haemodynamics by either exploiting the spatial heterogeneity of blood or by leveraging a single laser pulse and a single element functioning as thousands of virtual detectors.