By labeling the architectural RNA NEAT1 in paraspeckles (PS) at various positions using RNA-FISH-DNA-LNA probes, we learnt 3 new things: (1) the morphological space & shape progression of PS, (2) the orientation/packing of its RNA, (3) the coarse conformation of NEAT1. (2/3)

We modified our STED🔬to make it more efficient ('smart') to acquire high-resolution data of small and rare objects in a 3D cell volume. This enabled collecting a large amount of data in a fully automated fashion. With that, we visualized the ultra-structure a nuclear body👇🏻(1/3)

Long-term single-protein tracking up to 30 min allowed monitoring the dynamics of EGFR activation in living cells (and more)👇🏻Great work by a fantastic team and great collaboration with @JulianKompa Kai Johnsson @mpi_mr_hd 🙏 @sfb1507 @goetheuni

🙏happy that this article is out now: we used an integrative approach (MD, single-molecule imaging, FRET) to reveal early activation of the receptor tyrosine kinase MET in cells👇🏻A wonderful collaboration with @CovinoLab & great co-workers 🙏@goetheuni @fias_science @sfb1507

Melike, that brought up memories ... I remember that meeting very well, and found my slides (it was the 'Swiss SMLMS' at the time, so no typo on first slide😅) as well as a couple of nice photos ... with our special guest WEM at the time, and so many young faces😅👉🏻

Here we go again 👉🏻 #SMLMS2024 in Lisboa. Looking forward to 3 exciting days of great science. Thank you @HenriquesLab @MicrobeMatos for making this happen 🙏 @SMLM_Symposium

This approach enables ultra-fast scanning, minimizing photobleaching and phototoxicity. With that, we were able to record 3D-STED videos of ER structural rearrangements👇🏻

Long-term live-cell super-res microscopy! 👉🏻our new preprint (tinyurl.com/bdjjju45) reports >6h STED imaging of ER dynamics in live cells with seconds time resolution. It combines low-light imaging and NN-assisted denoising🔬

Self-quenched fluorophores attached to short DNA labels increase signal/resolution and reduce background in DNA-PAINT and DNA-STED. We are glad that this follow-up story (more fluors) is now out in JPC. Thank you @JPhysChem and our great Editor @JulieBiteenLab 🙏 @goetheuni

We are grateful to the DFG @dfg_public for funding this work in the frame of the DFG research training group iMOL imol.uni-frankfurt.de at the Goethe University Frankfurt @goetheuni @Achilleas49er

In her PhD work, Johanna fearlessly entered the field of computational tools for image analysis (tinyurl.com/32utwtda) and specialised on deep learning methods for microscopy (e.g. tinyurl.com/5n9xc75h, tinyurl.com/4nn26hfj). More to come 👉🏻💻(2/3)