As interest in fast real-space frame-rate scanning transmission electron microscopy for both structural and functional characterization of materials increases, so does the need for precise and fast electron detection techniques. Electron counting, with monolithic, segmented, or 4D detectors, has been explored for many years. Recent studies have shown that a retrofittable signal digitizer for a monolithic or segmented detector can be a sustainable and accessible way to enhance the performance of existing detectors, especially for imaging at fast scan speeds. Since such signal digitization uses a threshold on the gradient of the detector signal to identify electron events, appropriate threshold choice is key. Previously, this threshold has been set manually by the operator and is therefore inherently susceptible to human bias. In this work, we introduce an auto-thresholding approach for electron counting to determine the optimal threshold by maximizing the difference in identified counts from a stream with real electron events and a stream with only noise. This leads to easier operation, increased throughput and eliminates human bias in signal digitization. When pixel dwell time becomes shorter than scintillator response time, digitization of the detector signal is needed to avoid artefacts in STEM images. Optimizing the threshold for this digitization process automatically is crucial to achieve high-quality quantitative digitized images, free of human bias for what threshold yields the best digitization.

The self-absorption effects observed in the background intensity just above the Si L-emission spectra of Si and β-Si3N4, and the C K-emission spectra of diamond and graphite were examined. Based on comparisons with reported results, the energy positions of absorption edges – representing the bottom of conduction bands (CBs) – were assigned. The self-absorption profiles in the background intensities were consistent with previously reported data. The simultaneous observation of valence band and CB edges allowed the determination of a bandgap energy of 1.1 eV for Si, which agrees with the indirect bandgap energy of Si. For β-Si3N4, the bandgap energy was evaluated as 5.1 eV. For diamond, the edge positions were matched with reported values, and the bandgap energy was calculated to be 5.0 eV, slightly smaller than the optical gap of 5.5 eV. These observations suggest that both edges can be expected for semiconductors in principle. On the other hand, C K-emission spectrum of graphite, a semimetal also showed an edge structure, which was assigned to the self-absorption edge due to the transitions from 1s to σ* antibonding state of sp2 bonding.

Differential phase contrast scanning transmission electron microscopy (DPC STEM) is a powerful technique for directly visualizing electromagnetic fields inside materials at high spatial resolution. Electric field observation within ferroelectric materials is potentially possible by DPC STEM, but concomitant diffraction contrast hinders the quantitative electric field evaluation. Diffraction contrast is basically caused by the diffraction-condition variation inside a field of view, but in the case of ferroelectric materials, the diffraction conditions can also change with respect to the polarization orientations. To quantitatively observe electric field distribution inside ferroelectric domains, the formation mechanism of diffraction contrast should be clarified in detail. In this study, we systematically simulated diffraction contrast of ferroelectric domains in DPC STEM images based on the dynamical diffraction theory, and clarify the issues for quantitatively observing electric fields inside ferroelectric domains. Furthermore, we conducted experimental DPC STEM observations for a ferroelectric material to confirm the influence of diffraction contrast predicted by the simulations.

The advent of single-molecule atomic-resolution time-resolved electron microscopy (SMART-EM) has created a new field of 'cinematic chemistry,' allowing for the cinematographic recording of dynamic behaviors of organic and inorganic molecules and their assembly. However, the limited electron dose per frame of video images presents a major challenge in SMART-EM. Recent advances in direct electron counting cameras and techniques to enhance image quality through the implementation of a denoising algorithm have enabled the tracking of stochastic molecular motions and chemical reactions with sub-millisecond temporal resolution and sub-angstrom localization precision. This review showcases the development of dynamic molecular imaging using the SMART-EM technique, highlighting insights into nanomechanical behavior during molecular shuttle motion, pathways of multistep chemical reactions, and elucidation of crystallization processes at the atomic level.

Because of the potential insights organoids may provide in this context, we offer this review to highlight key physiological factors of HIV-1 transmission at common mucosal sites and a discussion highlighting how many of these factors can be recapitulated in organoids, their current limitations and what questions can initially be addressed, particularly by a selective inclusion of quantitative light microscopy techniques.

We present a review on the development and applications of the ultrafast transmission electron microscopy (UTEM) at RIKEN. We introduce the UTEM system for the pump-probe TEM observation in a wide temporal range. By combining the UTEM and pixelated detector, we further develop five-dimansional scanning TEM (5D STEM) which provides the ultrafast nanoscale movie of physical quantities in nano-materials, such as crystal lattice information and electromagnetic field, by convergent-beam electron diffraction (CBED) and differential phase contrast (DPC) imaging technique. We show our recent results on the nanosecond-to-microsecond magnetic skyrmion dynamics observed by Lorentz TEM (LTEM) and photo-induced acoustic wave generation in picosecond regime by bright-field TEM and electron diffraction measurements by UTEM. We also show the demonstartion of the 5D STEM on the quantitative time (t)-dependent strain mapping by CBED with an accuracy of 4 ps and 8 nm, and the ultrafast demagnetization under zero magnetic field observed by DPC with 10 ns and 400 nm resolution.

High-speed atomic force microscopy (HS-AFM) is a unique approach that allows direct real-time visualization of biological macromolecules in action under near-physiological conditions, without any chemical labeling. Typically, the temporal resolution is sub-100 ms, and the spatial resolution is 2–3 nm in the lateral direction and ∼0.1 nm in the vertical direction. A wide range of biomolecular systems and their dynamic processes have been studied by HS-AFM, providing deep mechanistic insights into how biomolecules function. However, the level of mechanistic detail gleaned from an HS-AFM experiment critically depends on the spatiotemporal resolution of the system. In this review article, we explain the principle of HS-AFM and describe how the resolution is determined. We also discuss recent attempts to improve the resolution of HS-AFM to further extend the observable range of biological phenomena.

Small extracellular vesicles (EVs) are characterized by the membrane expression of CD63, CD81 and CD9 tetraspanins. Their size is inferior to 200 nm. They share the same characteristics as the native cells and are found in human fluids. Specific membrane protein biomarkers expressed on small EV are useful for the diagnosis of tumoural pathologies. Clear cell renal cell carcinoma (CCRCC) is diagnosed by imaging examinations and/or tissue biopsy. Carbonic anhydrase IX (CAIX) is a powerful biomarker of CCRCC. The detection of CAIX on small EV from the urine of patients could constitute a liquid biopsy for CCRCC. We have set up a specific protocol for the preparation, the immunostaining characterization and the transmission electron microscopy observation of small EVs isolated from the urine of CCRCC patients. The background labelling was significantly reduced. We successfully detected biomarkers on urinary small EVs from CCRCC patients. This technique could be extended with antibodies directed against other EV biomarkers for the detection and the monitoring of cancer diseases.

Filoviruses are filamentous enveloped viruses belonging to the family Filoviridae, in the order Mononegavirales. Some filovirus members, such as Ebola virus and Marburg virus, cause severe hemorrhagic fever in humans and non-human primates. The filovirus ribonucleoprotein complex, called the nucleocapsid, forms a double-layered helical structure in which a non-segmented, single-stranded, negative-sense RNA genome is encapsidated by the nucleoprotein (NP), viral protein 35 (VP35), VP24, VP30 and RNA-dependent RNA polymerase (L). The inner layer consists of the helical NP-RNA complex, acting as a scaffold for the binding of VP35 and VP24 that constitute the outer layer. Recent structural studies using cryo-electron microscopy have advanced our understanding of the molecular mechanism of filovirus nucleocapsid formation. Here, we review the key characteristics of the Ebola virus and Marburg virus nucleocapsid structures, highlighting the similarities and differences between the two viruses. In particular, we focus on the structure of the helical NP-RNA complex, the RNA binding mechanism and the NP-NP interactions in the helix. The structural analyses reveal a possible mechanism of nucleocapsid assembly and provide potential targets for the anti-filovirus drug design.