RT-SuperES

⚙️ What makes the RT‑SuperES system unique? We combine live-cell super-resolution microscopy with real-time AI-based reconstruction, reducing processing time from hours to milliseconds. Enabling insights as they happen! #RTSuperES #AIinScience #Microscopy @EUeic #PathfinderOpen

Should microscope performance also be judged by the data it doesn't acquire? Adaptive microscopy is not only about collecting more images. It is also about knowing when additional data are unlikely to add biological insight. How would you measure microscope intelligence? #RTSuperES

What if a microscope could improve its own imaging while an experiment is running? A new method uses image-derived feedback to estimate aberrations and drive adaptive optics in real time during two-photon imaging. nature.com/articles/s4159… #RTSuperES

What if the best microscope is one that can change how it images as biology unfolds? A new platform combines five imaging modalities in a single reconfigurable system, opening the door to smarter imaging workflows. nature.com/articles/s4159… #RTSuperES

Can a super-resolution image reveal more than cell structure? A new study combines multiplexed DNA-PAINT with spatial glycan analysis, showing how nanoscale patterns distinguish cell states across tissues and immune cells. nature.com/articles/s4159… #RTSuperES

Can microscopy become the foundation for predictive cell models? A new Cell study combines 4D lattice light-sheet imaging with simulations to reproduce mitochondrial dynamics and explore how cells respond to perturbation. doi.org/10.1016/j.cell… #RTSuperES

Perhaps the smartest microscope is the one that takes fewer images. We still celebrate speed, resolution and dataset size. But every frame has a biological cost. Should information gained per photon become a key measure of microscopy performance? #RTSuperES

Training a smart microscope should not require thousands of hand-labelled images. A new preprint reports 93% accuracy in cell-cycle classification using just 80 labelled images per class, together with unlabelled data. biorxiv.org/content/10.648… #RTSuperES

Watching cells over long periods means balancing resolution with phototoxicity. This label-free super-resolution approach reaches about 120 nm resolution using only 0.5 µW of incident power, making long-term live-cell imaging more practical. nature.com/articles/s4137… #RTSuperES

Super-resolution is not only about resolution. It is also about making the technology easier to use. A new chip-based imaging system combines super-resolution, a field of view of about 1 mm² and label-free imaging using encoded LEDs instead of expensive lasers. nature.com/articles/s4417… #RTSuperES

Can a cell's future be seen in the way it looks and moves? A new review by @HenriquesLab, part of the RT-SuperES consortium, explores how AI can use time-lapse microscopy to predict cell fate, and where stronger biological validation is still needed. preprints.org/manuscript/202… #RTSuperES

🚀📷 What can cell shape, signal and movement tell us about a cell's future? #DeepLearning now predicts cell fate from #Microscopy. Work with Rita,@_mariod, @inesmcunha, Juliette + Guillaume👇 preprints.org/manuscript/202…

Some microscopy images explain science before a single word is read. "Neuronal Cosmos", the 2026 Evident Image of the Year winner, shows stem-cell-derived neurons forming structures that resemble a star field. digitalcameraworld.com/photography/aw… #RTSuperES #Microscopy

A single microscopy frame can reveal more than molecular positions. SMLDM uses deep learning to estimate molecular diffusivity from single-frame data, producing dense super-resolved maps in living cells without trajectory linking. nature.com/articles/s4159… #RTSuperES

How much information can we extract from a single image? A new 3D SMLM method separates fluorophores by brightness instead of colour, allowing multiple targets to be imaged in one detection channel. nature.com/articles/s4159… #RTSuperES

Fresh signal for adaptive microscopy: device-agnostic AI super-resolution from single limited frames, without setup-specific calibration. For RT-SuperES, robustness across microscopes is the real scalability test. nature.com/articles/s4146… #RTSuperES

How does a cell preserve its identity while copying DNA? A new review by @GAmouzni and @rnuvaz links replication timing with chromatin organisation. These are the dynamics RT-SuperES aims to capture. doi.org/10.1016/j.sbi.… #RTSuperES

AI bioimaging is moving from specialist tools to generalist models. Good. But adaptive microscopy needs more than predictions. If a model triggers SR imaging, it must also know when it is unsure. biorxiv.org/content/10.648… #RTSuperES

A cell can change in seconds, and the important moment may be easy to miss. RT-SuperES is working on microscopy that can spot those changes as they happen, then switch to super resolution for a closer look. rt-superes.eu #Microscopy #StemCells

RT-SuperES is now on LinkedIn!! Follow the project for updates, results, and community news. linkedin.com/company/135126… #RTSuperES #HorizonEurope