{"title":"Atomic-scale STEM characterization of Li-ion battery materials using orientation-controlled single-crystalline specimens.","authors":"Kei Nakayama","doi":"10.1093/jmicro/dfag034","DOIUrl":"https://doi.org/10.1093/jmicro/dfag034","url":null,"abstract":"<p><p>Active materials in Li-ion batteries often undergo local structural changes during the (de)lithiation process, which can strongly influence their electrochemical performance. Scanning transmission electron microscopy (STEM) is a powerful tool for investigating these changes because of its atomic-scale spatial resolution. However, atomic-resolution analysis of conventional powder samples, typically obtained from disassembled batteries, is often limited by observation directions that deviate from the low-index zone axes and overlap with other battery components. This Mini Review introduces an alternative approach based on orientation-controlled single-crystalline lamellae prepared from millimeter-scale single crystals with well-defined crystallographic orientations. Atomic-resolution STEM observations of these lamellae revealed irreversible local structural changes induced by the delithiation of Li2MnO3 and LiCoO2. In addition, in situ observations enabled direct visualization of the sequential evolution of the domain structure in MoS2 during lithiation.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149042457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical Excitation Energy-Based Method for Chemical Bonding State Analysis Using SEM-EDS.","authors":"Yasuhiro Takatani, Noritake Isomura, Satoru Kosaka, Toshikazu Satoh","doi":"10.1093/jmicro/dfag033","DOIUrl":"https://doi.org/10.1093/jmicro/dfag033","url":null,"abstract":"<p><p>In this study, we investigate the feasibility of evaluating the chemical bonding states using an electron-beam-based spectroscopic method implemented on a conventional scanning electron microscope and energy dispersive X-ray spectroscopy (SEM-EDS) system. The widely used surface-sensitive techniques such as X-ray absorption spectroscopy (XAS) often require synchrotron facilities and are not suitable for localized measurements. The critical excitation energies of silicon and silicon oxide featuring distinct absorption edge energies in XAS were determined by measuring the onset of characteristic X-ray emission as a function of incident electron energy. The observed difference in the critical excitation energy is consistent with the reported chemical shifts in the Si 1s binding energies and Si-K absorption edge energies. Systematic evaluations confirmed that variations in the beam current, instrumental instability, and surface charge-up did not significantly affect the measured thresholds. These results indicate that the proposed method captures chemically sensitive information related to the core-level electronic structure. The proposed approach provides a simple and accessible alternative to probe chemical bonding states and offers potential advantages for localized analysis because of the small probe size achievable with electron beams.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148914590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of dodecahedron type MCP detector for SEM toward full energy range and solid angle electron detection.","authors":"Yuto Yanagihara, Yuanzhao Yao, Kazuhiro Kumagai, Takashi Sekiguchi","doi":"10.1093/jmicro/dfag008","DOIUrl":"10.1093/jmicro/dfag008","url":null,"abstract":"<p><p>A detector was developed for scanning electron microscopy (SEM) in which microchannel plates (MCPs) were mounted on the facets of a regular dodecahedron. This detector enables the detection of electrons emitted in multiple directions. By placing a bias grid in front of each MCP, both backscattered electrons (BSE) and secondary electrons (SE) can be discriminated and detected. Using this detector, images were obtained by detecting electrons emitted in the direction normal to the sample surface (Top0), in two different oblique upward directions (Up1 and Up2), and in an oblique downward direction (Down6), to evaluate the emission-angle dependence including components emitted toward the lower hemisphere. Three specimens were examined: (i) a Cu plate with fine curtain-like surface waviness, (ii) a Cu-Al eutectic microstructure and (iii) a three-dimensional stainless-steel sphere. For the Cu plate, surface corrugations were emphasized in the Up1/Up2 BSE images, whereas Top0 showed nearly uniform contrast. For the Cu-Al specimen, Top0 primarily provided compositional contrast, while the Up1/Up2 highlighted interfacial regions due to illumination-effect-like directional acceptance. For the stainless-steel sphere, obliquely downward BSE were clearly detected with Down6, indicating the usefulness of the downward channel for three-dimensional geometries. Since this regular dodecahedral detector operates without electric or magnetic fields that could distort electron trajectories, it enables analysis of the energy and emission-angle dependence of emitted electrons. This design uses identical MCP detectors at multiple viewing directions, which simplifies signal handling and facilitates multi-view analysis of direction- and energy-resolved signals.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"364-370"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146215205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diverse applications of volume CLEM analysis in cell biology: brief overview, unique techniques and recent notable works.","authors":"Chieko Saito","doi":"10.1093/jmicro/dfag009","DOIUrl":"10.1093/jmicro/dfag009","url":null,"abstract":"<p><p>The technology of volume electron microscopy (vEM), which enables three-dimensional (3D) observation of organelles, cells and even tissues at the nanoscale, is advancing and being applied to various fields of life science. As the demand for vEM grows, there is an increasing need for Volume Correlative Light and Electron Microscopy (Volume CLEM) to capture targets without missing the region of interest (ROI) or to observe the localization of molecules (often proteins) at the exact location of the fluorescent signals. This mini review provides an overview of the current state of Volume CLEM and introduces several unique approaches. My aim is to share the diverse fundamental technologies and broad application scope of this technique. vEM provides nanoscale imaging for life science applications. CLEM, is very powerful for linking molecular localization to ultrastructure. This mini review outlines advances, distinctive approaches and its broad technological and application scope.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"301-306"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147583130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Local strain effects on bandgap energy in flexible h-WO3 nanowires.","authors":"Sho Nekita, Naomu Sekiguchi, Yuya Kasamura, Itsuki Misono, Yusuke Shimada, Satoshi Iikubo, Tetsuya Okuyama, Satoshi Hata","doi":"10.1093/jmicro/dfaf050","DOIUrl":"10.1093/jmicro/dfaf050","url":null,"abstract":"<p><p>According to theoretical predictions, local strain in the bent regions of flexible nanowires can alter their electronic structure. However, the experimental validation of such strain-induced effects remains elusive. In this study, we established a clear correlation between local structural deformation and electronic properties in bent hexagonal-WO3 nanowires using 4-dimensional scanning transmission electron microscopy and electron energy loss spectroscopy. Although a simple geometric bending model predicts an expansion of the (0001) lattice spacing on the outer side of the bend, our direct observations revealed a larger expansion than predicted. This lattice expansion was accompanied by a significant reduction in bandgap energy. We employed density functional theory calculations and crystal orbital Hamilton population analyses to provide a theoretical framework for these findings. These results provide direct experimental evidence of strain-induced modulation of the electronic structure in metal oxide nanowires.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"332-342"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Domain-specific simulated data enhances knife-mark noise suppression in microscopy images of materials.","authors":"Masato Suzuki, Yasuhiko Igarashi","doi":"10.1093/jmicro/dfaf049","DOIUrl":"10.1093/jmicro/dfaf049","url":null,"abstract":"<p><p>Accurate quantitative analysis of material microstructures from images is often hindered by noise and artifacts generated during sample preparation. While deep learning is a promising approach for this challenge, preparing the large amount of 'supervised data' (labeled real images) required for training poses a significant barrier in material science. This study proposes and validates a simulation-driven learning paradigm where a deep learning model is trained exclusively on simulated images that mimic the key features of target structures and noise, serving as a powerful solution to this data scarcity problem. As a specific case study, we applied this paradigm to the removal of 'knife-mark noise' from cross-sectional images of rubber materials to enable accurate filler region segmentation. In evaluations using simulated data, the proposed method showed superior performance across all the metrics (PSNR, SSIM, and MAE) compared with conventional methods such as the median filter and TV reconstruction, as well as a U-Net model trained on general-purpose Gaussian noise. More importantly, the model also performed effectively on real images, despite being trained solely on simulated data. It successfully removed both knife-marks and material-derived background textures, which demonstrates the viability of simulation-driven learning to overcome the need for manually annotated datasets. This work highlights the power of task-specific simulations as a practical alternative to manual data annotation in quantitative materials analysis.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"318-331"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454694/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145357057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-vacuum scanning electron microscopy for informative three-dimensional imaging of cell/tissue architectures and biomedical target localization.","authors":"Akira Sawaguchi","doi":"10.1093/jmicro/dfag012","DOIUrl":"10.1093/jmicro/dfag012","url":null,"abstract":"<p><p>This review focusses on the recent advances of practical application of low-vacuum scanning electron microscopy to informative three-dimensional imaging of cell/tissue architectures and biomedical target localization on microscope slides for biomedical sciences and clinical diagnoses. Scanning electron microscopy under low-vacuum conditions allows high-resolution imaging of complex cell/tissue architectures in nonconductive specimens because the negative charge that accumulates on the nonconductive materials can be neutralized by the positive ions in the residual gas molecules. However, the conventional methods for metal staining of biological specimens require harmful uranium compounds, which hampers the applications of electron microscopy. The development of uranium-free KMnO4/Pb metal staining allows multiscale imaging of extensive cell/tissue architectures to intensive subcellular ultrastructure. The obtained image contrast was equivalent to that of Ur/Pb staining and sufficient for ultrastructural observation. Observation of the 20-µm-thick section facilitates distinctive perception of the face-side images of the epithelium, which are seldom seen within 5-µm-thin sections. Visualization of the exact location of targeting molecules by in situ strategy provides unique insight into nanogold development via nanogold nucleation and secondary growth under hot-humid air conditions. These user-friendly techniques are highly anticipated to fill the gap between light and electron microscopy to correlate cell/tissue structure and function. Importantly, paraffin and cryostat blocks of cell or tissue samples are semipermanent, making them valuable for retrospective studies through the re-evaluation of archived specimens.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"307-317"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454675/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Han Gia Nguyen, Linhao Sun, Hirotoshi Furusho, Shinji Watanabe
{"title":"Non-destructive pre- and post-experimental validation of glass nanopipette geometry: quantifying beam-induced deformation in membrane-free TEM.","authors":"Han Gia Nguyen, Linhao Sun, Hirotoshi Furusho, Shinji Watanabe","doi":"10.1093/jmicro/dfag004","DOIUrl":"10.1093/jmicro/dfag004","url":null,"abstract":"<p><p>Nanopipettes have emerged as versatile tools for diverse applications, ranging from single-molecule sensing and nanoparticle detection to scanning probe microscopies such as scanning electrochemical microscopy and scanning ion conductance microscopy (SICM). In all these fields, precise geometrical characterization is a prerequisite for quantitative analysis. However, conventional \"post-experimental\" characterization cannot guarantee that the tip maintained its critical geometry during the experiment. While membrane-free transmission electron microscopy enables the non-destructive observation required for \"pre- and post-experimental\" validation, it introduces a risk of beam-induced deformation. In this study, we systematically investigated the deformation dynamics of quartz and borosilicate glass nanopipettes. Our analysis revealed distinct mechanisms: quartz exhibited continuous spheroidization enabled by structural homogeneity, whereas borosilicate glass showed fracture due to heterogeneity. Crucially, we identified a stable regime where deformation is negligible. By adhering to these conditions, we successfully demonstrated the rigorous tracking of a single quartz nanopipette's geometry both before and after live-cell SICM imaging. This workflow provides the first direct evidence of structural stability throughout the functional process, establishing a quantitative framework for reliable nanopipette metrology.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"354-363"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146196368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semi-supervised semantic segmentation of SEM images considering multi-scale structural consistency loss in semiconductor pattern layouts.","authors":"Akira Ito, Atsushi Miyamoto","doi":"10.1093/jmicro/dfaf056","DOIUrl":"10.1093/jmicro/dfaf056","url":null,"abstract":"<p><p>In the fabrication of semiconductor devices, increased yield is achieved using Scanning Electron Microscopes (SEM) to measure and inspect circuit patterns. With the recent decreasing scale and increasing complexity of semiconductor circuit patterns, it has become increasingly difficult to recognize patterns accurately using rule-based image processing methods. As such, we propose a method that uses semi-supervised learning for segmentation processing to recognize which pattern level each pixel represents. With existing methods, the pseudo-labels used for training were not accurate enough, and there were issues such as inconsistent recognition of repeated-pattern layouts and mixed-up results in large unmarked areas distant from the pattern contour. Accordingly, the proposed method is able to perform highly accurate segmentation with the design of new types of loss for evaluating consistency in pattern structure at various scales. When compared with Unimatch and CAC, which are well-known high-performance segmentation methods, the accuracy relative to visual identification increased dramatically, from 10-12% to 100%. In quantitative evaluation using mean Intersection-over-Union (mIoU) at the pixel level, mean values also increased from a range between 0.45 and 0.65 to over 0.94, confirming that the proposed method is effective.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":"343-353"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145844485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anisotropic optical properties of β-CuGaO2 single crystal studied via momentum transfer resolved EELS.","authors":"Asahi Mizuno, Yohei K Sato, Masami Terauchi, Issei Suzuki, Takahisa Omata","doi":"10.1093/jmicro/dfag032","DOIUrl":"https://doi.org/10.1093/jmicro/dfag032","url":null,"abstract":"<p><p>β-CuGaO2 has attracted attention as a photovoltaic material because of its p-type semiconducting nature and strong-visible-light absorption capability. Because ion-exchange methods yield only micron-sized crystals and random orientations, conventional optical characterization of their anisotropic properties has been largely inaccessible. Herein, the dielectric function of β-CuGaO2 was determined as a function of momentum transfer (q) using q-resolved electron energy-loss spectroscopy (q-EELS) on single crystals in transmission electron microscopy (TEM). EELS spectra were acquired along the q// 100, q// 010, and q// 001, revealing a pronounced dependence of the visible-light-region spectral intensity on q. The dielectric functions derived from the EELS spectra indicate anisotropic absorption, which is stronger for q// 100 and q// 001 and weaker for q// 010. This anisotropic absorption feature is attributable to interband transitions from localized Cu 3d states at the valence band maximum and localized O 2p states at the conduction band minimum, consistent with theoretical studies. These results demonstrate that TEM-based q-EELS enables the evaluation of anisotropic dielectric properties even from micron-sized crystals, providing insight into the electronic structure of β-CuGaO2.</p>","PeriodicalId":74193,"journal":{"name":"Microscopy (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148623112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}