An multi-lab, blind study confirms that smFRET measurements on dynamic proteins are highly reproducible across instruments, analysis procedures and timescales, further highlighting the promise of smFRET for dynamic structural biology. nature.com/articles/s4159…

1/2 Superresolution without switching? pMINFLUX colocalizes and tracks two molecules with nanometer precision, separating them by their distinct fluorescence lifetimes. Check out our recent preprint in collaboration with Fernando Stefani Lab: biorxiv.org/content/10.110…

By correlative imaging and Raman spectroscopy, we found that the upper limit of water uptake and release in single #MOFs crystals is by far higher than expected. Many thanks to Omar Yaghi and all people involved for this nice collaboration. Congrats! 🎉 pubs.acs.org/doi/10.1021/ja…

If you like single-molecule biophysics, this new book is for you link.springer.com/book/10.1007/9…. We (Tinnefeld Lab and Grohmann lab) contributed a chapter about the DNA origami force clamp. Thanks David Dulin Iddo Heller and Erwin Peterman for assembling such a great collection!

🥳I'm excited to share our recent work on automated, single-molecule data analysis suitable for multi-labeled structures, called Deep-LASI! Congrats to all authors and thanks for this great collaboration between the Lamb group and Tinnefeld Lab! disq.us/t/4jpdquu

Preprint alert📢: A DNA origami biosensor using smFRET for precise lipid vesicle detection! biorxiv.org/content/10.110…

Preprint: 🌟 Our study explores MXenes' energy transfer. Using fluorescence microscopy & DNA origami, we examined ATTO 542 on Ti3C2Tx films. Our technique reveals fluorescence quenching at 1-8 nm, aligning with Förster-type energy transfer. chemrxiv.org/engage/chemrxi…

Excited to finally share our work on modular and tunable single molecule sensors! biorxiv.org/content/10.110… 1/6

I’m super thrilled to share our new method for real-time structural biology that reaches Ångström resolution in a confocal microscope! With GETvNA, we measured DNA bending and protein diffusion with single-bp resolution! Tinnefeld Lab Universität München biorxiv.org/content/10.110… 0/8 👇

1/5📢 We’re excited to share GETvNA, a method to study DNA conformations and DNA-protein interactions with Å resolution! We show that DNA stands vertically on graphene and exploit this to study DNA bending and protein diffusion via SM fluorescence. biorxiv.org/content/10.110…

Single-Molecule FRET at 10 MHz Count Rates biorxiv.org/cgi/content/sh… #biorxiv_biophys

Excited to be presenting in the BiOS Hot Topics Session! Looking forward to heading off for San Francisco...

See how microtime information localizes two spectrally similar dyes with nanometer precision.

Precisions of just one #nanometer: LMU scientists (Tinnefeld Lab) develop an elegant approach to overcome the #resolution limit of #fluorescence #microscopy. lmu.de/en/newsroom/ne…

Direct visualization of allostery in artificial DNA origami arrays or how we used a novel double FRET probe to study and engineer the coupling between antijunctions. Great cooperation with the labs of Yonggang Ke & Dongfang Wang now out in nature Comms nature.com/articles/s4146…

✍️📰Check out the press release from Universität München highlighting two of the latest articles from our lab, published in Angewandte Chemie and Nature Communications. lmu.de/de/newsroom/ne… onlinelibrary.wiley.com/doi/10.1002/an… nature.com/articles/s4146…

Check out our most recent work on monitoring the protective coating of single DNA origami nanostructures with a molecular fluorescence lifetime sensor: biorxiv.org/content/10.110…

Excited to share it now in its final form in Nature Nanotechnology: our approach to decouple sensing from signal output to build modular and tunable DNA origami sensors with high FRET contrast: rdcu.be/dZqUd 💡🧬🔬

Can we study DNA and DNA/protein conformations with Ångström/sub-second resolution in a fluorescence microscope? With GETvNA, we sure can! Check out our new paper in Nature Methods: nature.com/articles/s4159… Tinnefeld Lab Curious about how GETvNA works? 1/n🧵

Excited to share our new work on Brownian DNA Computing!