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

Application Note - TIRF Imaging | Abbelight

𝗖𝗮𝗻 𝘆𝗼𝘂𝗿 𝗧𝗜𝗥𝗙 𝘀𝗲𝘁𝘂𝗽 𝗸𝗲𝗲𝗽 𝘂𝗽 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗰𝗵𝗮𝗻𝗴𝗲 𝘆𝗼𝘂𝗿 𝗺𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗺𝗲𝗱𝗶𝘂𝗺❓   Most can't.   Switch from PBS to an antifade medium like Vectashield, and the refractive index shift alone can push the TIRF angle o...

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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...

Spontaneous and indefinite blinking in upconverting nanoparticles for ångström-precision multicolour super-resolution imaging - Nature Nanotechnology

Compositionally engineered, spontaneously blinking upconverting nanoparticles enable multicolour super-resolution imaging with a single excitation source and achieve localization precision down to…

doi.org

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 a cell’s shape and movement reveal what it will do next? A new Henriques Lab review explores how AI uses time-lapse microscopy to predict cell fate, while asking whether models predict the future or detect changes already underway. www.preprints.org/manuscript/2...

🚀🔬 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

Not every advance in super-resolution comes from adding new optics. This 3D SMLM method distinguishes fluorophores by brightness rather than colour, allowing multiple targets to be imaged through a single detection channel.

AI-super-resolution is moving toward device-agnostic use. That matters for RT-SuperES: adaptive microscopy will only scale if smart acquisition decisions are robust across real microscopes, not tuned forever to one setup. www.nature.com/articles/s41...

🔬 Happy to share our new paper showing that fluorophore brightness open a new dimension in SMLM microscopy ! Thanks to all authors @laurent-le.bsky.social S. K. Sreenivas @emmanuelfort.bsky.social ! @ismolab.bsky.social @instlangevin.bsky.social @cnrs.fr rdcu.be/fmIeD doi.org/10.1038/s415...