RT-SuperES

Smart microscopy can begin with smarter sampling. TIDT-NAS samples densely near the specimen and sparsely farther away. In live HeLa cells, 26 axial images replaced 71 while enabling ~1 Hz 4D refractive-index imaging. doi.org/10.1186/s430... #RTSuperES

Live lattice-SIM reveals lysosome repair as a spatial event: DFCP1-positive ER microdomains dynamically assemble around damaged lysosomes and help concentrate lipid-transfer machinery for repair. doi.org/10.1038/s415... #RTSuperES #Microscopy

Microscopy reproducibility should include the analysis path, not only acquisition metadata. As imaging becomes adaptive, decisions that alter what is acquired next should be traceable and reproducible. @galaxyproject.bsky.social doi.org/10.1111/jmi.... #RTSuperES

“Most informative” is not intrinsic to an image. SimuScan can identify features and steer AFM follow-up scans, but targets are ranked by user-defined criteria. AI can choose where to look; science still defines what matters. doi.org/10.1038/s414... #ORNL #RTSuperES

Biology can disappear when the field of view ends. WHOLISTIC records cellular Ca²⁺ activity across larval zebrafish. During hypoxia, it revealed brainstem control of blood-flow redistribution between organs. doi.org/10.1038/s415... #RTSuperES

What if, instead of filtering background away, we moved the signal somewhere the background isn't? PP-LID makes upconversion nanoparticles generate a beat-frequency signal absent from the excitation itself, enabling camera-based isolation. doi.org/10.1038/s413... #RTSuperES

Does microscopy analysis always need the full image volume? DeepWonder3D works from multiview projections rather than every voxel, improving 3D neuronal localization with ~10× lower computational cost. Sometimes the representation is part of the solution. doi.org/10.1038/s415... #RTSuperES

What if multiple imaging modes could be encoded into the coverslip? A new preprint demonstrates a meta-coverslip for bright-field, differential, fluorescence and holographic imaging, switching functions simply by changing wavelength. arxiv.org/abs/2609.02335 #RTSuperES

Sometimes nanometres are not just resolution. They are biology. A new study shows that membrane-to-cortex distance can regulate mDia1 activity and cell mechanics, making nanoscale geometry itself a functional cellular parameter. doi.org/10.1038/s414... #RTSuperES

Broad first, detailed where it matters. A new Euro-BioImaging case study uses multiplex spatial phenotyping for tumour context, then confocal microscopy for more detailed questions. A useful example of matching imaging depth to the biology. www.eurobioimaging.eu/news/underst... #RTSuperES

How much biological time is hidden inside one super-resolution image? SPIFFI gets ~1.7× instantaneous resolution enhancement from a single exposure and captured live-cell dynamics blurred by methods integrating many frames. doi.org/10.1038/s415... #RTSuperES

How far has microscopy advanced if only specialist labs can use it? IMC21 considers open-source instruments, low-cost optics, shared facilities, training and standards. Accessibility can be part of method design. www.imc21.org.uk/congress/con... #IMC21 #RTSuperES

Does a smart microscope always need to interpret an image before deciding what to do next? A new SPAD-array study estimates active fluorophore number from photon-count statistics. Could detector-level information eventually drive acquisition? doi.org/10.1038/s415... #RTSuperES

Where does an imaging system begin? Not necessarily at the microscope. New fluorogenic peptide probes enable multicolour, wash-free real-time live-cell microscopy—a reminder that acquisition quality can be engineered into the reporter itself. doi.org/10.1038/s415... #RTSuperES

What should “high-content” microscopy mean? Not necessarily more images. Chem-SIM combines SIM with mid-IR photothermal modulation, adding chemical fingerprints to spatial information. Could what kind of information to acquire become an adaptive decision? doi.org/10.1038/s414... #RTSuperES

A super-resolution artifact can start before reconstruction. A new HPFM method uses a first-order Bessel beam to improve excitation-PSF matching and suppress subtraction artifacts, with about 100 nm lateral resolution reported. doi.org/10.1364/OL.6... #RTSuperES

Where should a smart microscope’s feedback loop end? At adapting acquisition, or could it also perturb the biology? A new preprint uses fluorescence feedback to control chemical stimulation of mammalian cells. doi.org/10.64898/202... #RTSuperES

A pathway can look different depending on where in the cell you measure it. A new live-cell Ras biosensor found slower endogenous Ras activation at the Golgi than at the plasma membrane after EGF. That spatial difference is itself biology. doi.org/10.1038/s415...

200.8 volumes/s sounds like a microscope specification. But voltage signals unfold on millisecond timescales. Should adaptive microscopy aim for maximum acquisition speed, or dynamically match its speed to the biology being observed? doi.org/10.1038/s415... #RTSuperES

A lesson from AI4Life: bioimage AI can be limited less by missing models than by data, annotations and shared infrastructure. The new preprint includes RT-SuperES partners Anna Kreshuk and Ricardo Henriques. www.biorxiv.org/content/10.6...

What makes an AI microscopy reconstruction successful? A convincing image is not enough if the biological signal used for analysis has changed. Should we evaluate reconstruction by visual similarity, or by whether downstream measurements remain correct? #RTSuperES

How far into a sample can nanoscale resolution survive? A new preprint reports 37 nm lateral resolution at 200 µm depth with ISES nanoscopy, combining emission saturation, image scanning and Fourier-domain fusion. arxiv.org/abs/2608.00456 #RTSuperES

The smarter microscopes become, the more microscopy judgement matters. Automation cannot compensate for an artefact, poor sample preparation or the wrong imaging method. Our experimental judgement increasingly has to become part of the acquisition logic. #RTSuperES

Myelin is not as static as it looks. Live imaging reveals organelles moving through cytoplasmic routes within myelin, with peroxisome motility changing with neuronal activity. The authors call this transport network TRAM. doi.org/10.1038/s415... #RTSuperES

Smart microscopy can start before acquisition. @henriqueslab.bsky.social’s VLab4Mic lets researchers test labels and imaging modalities computationally before going to the microscope. Better decisions before an experiment can complement adaptive decisions during it. vlab4mic.henriqueslab.org

Should fluorescence always be the surveillance channel? If a gentler modality can monitor the sample, perhaps fluorescence is better reserved for moments when molecular specificity is needed. Should choosing the imaging modality itself become an adaptive decision? #RTSuperES

In live-cell super-resolution, the label is part of the imaging system. A new preprint uses fluorogenic dyes and reversible HaloTag ligands for protein-based live-cell PAINT, including two-colour super-resolution. doi.org/10.64898/202... #RTSuperES

When optics and computation jointly create an image, what should an adaptive microscope trust enough to act on? The detector measurements, the reconstruction, a confidence estimate, or agreement between them? That question matters once computation enters the acquisition loop. #RTSuperES

Super-resolution can advance by simplifying the microscope, not only by pushing its performance. A new preprint uses a 3D-printed phase-mask insert in a commercial microscope for 3D SMLM, with computation correcting field-dependent effects. doi.org/10.64898/202... #RTSuperES

A useful microscopy distinction: localization precision is not the same as image resolution. Recent U-STORM work reports sub-ångström localization precision using blinking upconverting nanoparticles. doi.org/10.1038/s415... #RTSuperES

Should an adaptive microscope make the image better, or make the experiment less uncertain? If one region is already well understood, should the next measurement go somewhere else? What should smart microscopy optimise: SNR, resolution, uncertainty or biological relevance? #RTSuperES

Cell state may be reflected in how RNAs move. A new preprint reports that endogenous mRNAs become more constrained during human iPSC differentiation. Could molecular mobility help guide future adaptive imaging? doi.org/10.64898/202...

A useful reminder that good microscopy often depends on getting the fundamentals right. This #Abbelight application looks at automated TIRF calibration across different sample conditions and why reproducible illumination matters. www.linkedin.com/posts/abbeli... #RTSuperES @abbelight.bsky.social

How portable should microscopy AI be? This Nature Communications study reconstructs point-like emitters from a single diffraction-limited frame without system-specific calibration, using training across diverse simulated optical conditions. doi.org/10.1038/s414... #RTSuperES

U-STORM uses nanoparticles that blink spontaneously, enabling two-colour imaging with one NIR laser. The reported 0.62 Å refers to localization precision, not biological resolution. doi.org/10.1038/s415...

A different route to higher spatial resolution: use correlations between photons. A Science Advances study reports 2x and 4x resolution enhancement with entangled photon pairs while the object-containing arm remained single-pass. doi.org/10.1126/scia... #RTSuperES

Should an intelligent microscope be judged by the images it captures, or by the ones it decides not to capture? How would you measure microscope intelligence? #RTSuperES

What if image analysis could improve the microscope while the experiment is still running? NeAT uses image-derived feedback to estimate aberrations and drive adaptive optics in real time during two-photon imaging. www.nature.com/articles/s41... #RTSuperES

Perhaps the future of microscopy is not one perfect imaging method, but knowing which one to use next. This reconfigurable platform combines five imaging modalities in a single system. www.nature.com/articles/s41... #RTSuperES

Super-resolution microscopy is becoming about more than structure. This study combines multiplexed DNA-PAINT with spatial glycan analysis, showing how nanoscale patterns can distinguish different cell states. www.nature.com/articles/s41... #RTSuperES

Microscopy is becoming a foundation for predictive cell models. This Cell study combines 4D lattice light-sheet imaging with simulations to reproduce mitochondrial dynamics and explore cellular responses to perturbation. doi.org/10.1016/j.ce... #RTSuperES

Perhaps the smartest microscope is the one that knows when not to image. More frames mean more data, but also more light, phototoxicity and analysis. Should adaptive microscopy be judged by information gained per photon rather than maximum speed? #RTSuperES

One practical challenge for smart microscopy is the amount of labelled data needed to train AI models. This preprint reports 93% cell-cycle classification accuracy using just 80 labelled images per class, together with unlabelled data. www.biorxiv.org/content/10.6... #RTSuperES

Long-term live-cell imaging is often limited by phototoxicity. This label-free super-resolution method reaches about 120 nm resolution with only 0.5 µW of incident power, making extended observation more practical. www.nature.com/articles/s41...

Super-resolution also needs to become easier to deploy. This chip-based system uses encoded LEDs instead of expensive lasers, supports label-free imaging and covers a field of view of about 1 mm². www.nature.com/articles/s44... #RTSuperES

🚀🔬 Can cell shape, signal and movement tell us about a cell's future? #DeepLearning studies now predict cell fate from #microscopy. Together w Rita, @mariodelr.bsky.social, @inesmcunha.bsky.social, @juliettegriffie.bsky.social + @guijacquemet.bsky.social👇 www.preprints.org/manuscript/202607.1414/v1

Some microscopy images stay with you. "Neuronal Cosmos", the 2026 Evident Image of the Year winner, shows stem-cell-derived neurons organised into patterns that resemble a star field. www.digitalcameraworld.com/photography/... #RTSuperES

A single microscopy frame can contain more information than molecular positions. SMLDM estimates molecular diffusivity from single-frame data using deep learning, creating dense super-resolved maps in living cells without trajectory linking. www.nature.com/articles/s41... #RTSuperES