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This paper presents an active pixel power control (APPC) to minimize crosstalk in all-optical neural interrogation. Tested in vivo, APPC suppresses optogenetic artifacts while preserving Ca2+ imaging quality, enabling precise neural circuit analysis.

Using recent TMTH-sulfoximine (THS)-based biorthogonal chemistry in live cells, Smits et al. identify micro- and nanodomains in cell-cell and cell-matrix contacts of heterogenous glycocalyx density in invading melanoma cells.

Tracking fast molecules in crowded organelles is error-prone, obscuring dynamic processes like Alzheimer’s secretase activity or secretory sorting. Here, authors present FidlTrack, a structure-aware method that boosts tracking fidelity and resolves ER-exit, nanobody binding, and BACE1-APP cleavage.

Real-time imaging in zebrafish shows that macrophages convert fast osmotic wound signals into rapid vessel permeabilization via cPla₂-dependent nuclear membrane mechanotransduction.

The performance of DNA-PAINT super-resolution imaging is limited by non-specific binding of the imaging strand. Here, Sirinakis and colleagues report a statistical test that removes these events, improving image quality and measurement accuracy.

The authors introduce an unsupervised machine learning module capable of clustering high-dimensional blinking patterns and computing class-wise power spectral densities to probe active trap states. The approach offers advances in contemporary (micro)spectroscopy.

Testi and colleagues introduce an enhanced Brillouin Microscope for user-independent and high-precision mechanical measurements. Using this approach, the authors obtained insight into the biophysical properties of protein condensates involved in severe neurodegenerative diseases.

Burns et al. introduce an unrolled, physics-informed machine learning method that speeds up blind structured illumination microscopy by orders of magnitude while preserving generalizability, enabling real-time superresolution imaging in live cells.

Laser flash melting experiments have rendered cryo-EM fast enough to observe the microsecond motions of proteins. The authors extend the observation window of this emerging technique tenfold, to hundreds of microseconds, by sealing cryo-EM samples in ultrathin liquid cells.

Here they develop PLOTTED, a novel imaging-based method for extracting chromatin conformation information from 3D data. This method provides visualization tools to assess spatial differences, illustrating the interplay between chromatin conformation and gene expression.

This PrimeView highlights the key steps for reconstructing a super-resolution image from single-molecule localization data.

Fluorescence microscopy during CryoFIB milling produces an interferogram that can be used to direct lamella production to labeled structures with accuracy beyond the axial diffraction limit. The approach relies only on real-time feedback from the structure, requiring no image registration.

The authors developed a specialized objective lens that corrects GRIN lens aberrations, enabling in vivo, large–field-of-view, two-photon volumetric calcium imaging of more than 1,000 neurons deep within mouse brains.

Each valley of the mini-Brillouin zone ("mini valley") of twisted bilayer graphene (TBG) contains two Dirac cones that hybridize to form flat bands. Theory predicts that these two Dirac cones have the same chirality, leading to topological obstruction. Here, the authors confirm this prediction experimentally.

A majority methylammonium and iodine edge termination is observed by electron ptychography in the perovskite methylammonium lead iodide, and the stability of its edges and internal defects depends on the concentration and type of vacancies present.

Qian, Yang et al. create an AI-powered imaging tool to aid surgeons by visually highlighting cancerous regions in the lung based on structural changes in the extracellular matrix. This system detects tumors with high sensitivity and clearly outlines their edges, enabling more precise tissue sampling and surgical resection.

Scanning nitrogen-vacancy microscopy unveils super-moiré spin textures emerging in twisted double-bilayer CrI₃ and provides real-space evidence of antiferromagnetic Néel-type skyrmions spanning multiple moiré cells.

Imaging neural activity across large volumes at subcellular resolution in freely behaving animals remains challenging. Here, a miniature Bessel-beam two-photon microscope enables volumetric calcium imaging of 1,000+ neurons in freely moving mice.

Workflow for gut-optimized lightsheet imaging of the enteric nervous system in the context of morphology at the organ scale, with plexus separation and quantitative assessment, in cubic centimeters of intact cleared mouse and human gut samples.

Parmar et al. assess the Nugent score as a diagnostic tool for neovaginal dysbiosis in transfeminine people with vaginoplasty. Nugent targeted taxa are found to be rare in the neovagina, and Nugent score does not correlate with neovaginal inflammation or symptoms, highlighting the need for neovagina-specific, evidence-based diagnostic tools.

Terahertz microspectroscopic imaging at subgap millielectronvolt energies of a two-dimensional superfluid plasmon in few-layer Bi₂Sr₂CaCu₂O_8+x is demonstrated, allowing the spatial resolution of its deeply subdiffractive terahertz electrodynamics.

Volumetric Localization Microscopy (VLM) integrates light-field imaging with deep learning for high-fidelity 3D single-molecule imaging. Trained on system-aware PSFs, VLM offers simple, efficient, low-toxicity 3D imaging for biomedical research.

FACED 2.0 builds on and expands the capabilities of the free-space angular-chirp-enhanced delay microscopy approach. Its high speed, large field of view and volumetric coverage enable two-photon voltage imaging of hundreds of neurons or calcium imaging of thousands of neurons in the mouse or zebrafish brain.

Cardiac ryanodine receptors (RyR2) are critical for heart contraction. Here, the authors use 3D MINFLUX microscopy to image receptor subunits and RyR2 orientation with nanometre resolution, thereby providing a molecular view of the organisation and clustering of these cardiac muscle receptors.

Tau phosphorylation was found to hinder the formation and protective functionality of tau envelopes against microtubule-severing enzymes, providing a potential explanation for microtubule destabilization observed in neuropathology.

Atomic force microscopy is used to investigate the adsorption and organization of ions on charged surfaces. Trivalent ions adopt complex networks, clusters and layers associated with overcharging, whereas divalent ions follow classical predictions.

Electron tomography enables high-resolution 3D imaging but is limited by radiation sensitivity. Here, the authors demonstrate a phase retrieval method using multiple tilted HRTEM focal series, achieving 1.6 Å resolution with improved dose efficiency and elemental sensitivity.

Screening of 16 capsaicin chemical derivatives leads to the discovery of HMBB, the first mitochondrial inhibitor of the cell cycle protein AURKA in cellular models of breast cancer

Strain can lead to emergent quantum states. Here, the authors identify a strain induced topological crystalline insulator phase in bilayer SnTe on bulk 2H-NbSe₂.

The authors introduce a compact, fast and high-resolution quantitative phase imaging system which integrates nanophotonic metasurfaces with artificial intelligence (AI)-driven algorithms. They demonstrate nanoscale resolution better than 840 nm at a 74 Hz frame rate, all within a single thin optical layer.

The authors present quantitative bidirectional light-scattering imaging that simultaneously captures microscale and nanoscale cellular structures, achieving a ~ 14-fold broader dynamic range than standard quantitative phase imaging.

A scanning electron microscope operated at 20 keV with distortion corrected ptychography achieves sub-ångström resolution, thus offering a compact and lower-cost alternative TEM imaging method that is well-suited to 2D materials and small proteins.

The Evaluation and Enhancement (EVEN) method optimizes automatically the quality of multichannel microscopy images affected by uneven illumination, enabling accurate visual interpretation and image analysis in challenging imaging scenarios.

Stepp and colleagues present hybrid-EDA, an event-driven acquisition (EDA) that enables gentle investigation of rare mitochondrial events. This approach combines continuous, low-phototoxicity phase-contrast surveillance with event-triggered fluorescence imaging, powered by dynamics-aware machine-learning event detection.

Different agonists produce equilibria of at least four distinct active states of the G-protein-bound M2 muscarinic acetylcholine receptor, each with a different ability to activate G proteins.

The authors develop a high-speed remote focusing method for volumetric voltage imaging enabling imaging at 500 volumes/s. This is combined with light sheet microscopy to record data from >100 spontaneously active neurons in parallel.

Authors present a method for providing fast and robust drift correction in single molecule localization microscopy, by pairing the nearest molecules in data segments and calculating their displacements within a small search radius.

A protocol for cryogenic 3D correlative focused ion beam milling using an integrated fluorescence light microscope and montage cryo-ET for nonadherent and adherent mammalian cells, as well as primary Drosophila melanogaster neurons.

Smart microscopy is an emerging technology which integrates real-time analysis with adaptive acquisition to enhance imaging efficiency. Here the authors introduce “outcome-driven microscopy,” an approach that uses optogenetics and real-time feedback to control cell behaviour and protein dynamics.

Galland et al. present soSMARt, a method for in-depth single molecule localisation microscopy using microfabricated devices, which enables single-objective light-sheet microscopy, adaptive optics correction, real-time registration, and axially extended volume reconstruction with nanometer precision.

AXIS-SIM, a new method of superresolution microscopy, was developed to achieve nearly uniform resolution in all directions with a simple reflector. The advancement allows scientists to observe living cells in unprecedented detail and track dynamics

This study shows how SARS-CoV-2 fusion peptides assemble and reshape membranes, revealing cooperative mechanisms that lower barriers to viral entry and offering principles for designing antiviral and membrane-responsive nanomaterials.

High-resolution data are crucial for accurate structural modeling. Here, authors enhance MicroED data quality using energy filtering, achieving sub-atomic resolution protein data and uncovering diffuse scattering, offering detailed insights into protein structure and function.

SmartEM is a ‘smart’ pipeline for electron microscopy-based data acquisition for connectomics. In order to efficiently image large datasets, the approach involves imaging at short pixel dwell times and identifying problematic regions that are then imaged with longer dwell times and therefore higher quality.

The authors prepare single-domain SrAl_11-δTiO₁₉ ferroelectric thin films with a magnetoplumbite structure through a solid-state reaction. This thin film not only exhibits high remnant polarization but also demonstrates excellent polarization retention characteristics.

The authors present the adaptive optics system MD-FSS, which allows high-resolution brain imaging in awake mice with rapid aberrations correction against motion. It reveals differences in brain function between awake and anesthetized states, improving our understanding of neurovascular dynamics.

Computer algorithms for contrast and resolution enhancement of microscopic images can become derailed. The authors here provide proof is offered that the Richardson-Lucy algorithm turns out to amplify noise in the initial data, wrecking the final outcome.

A parameterized physical model that uses unpaired datasets for adaptive holographic imaging was published in Nature Machine Intelligence in 2023. Zhang and colleagues evaluate its performance and extend it to non-perfect optical systems by integrating specific optical response functions.