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Philipp Steen

@philippsteen.bsky.social

59 followers 70 following 7 posts

Physics PhD student in the JungmannLab (MPI_Biochem / LMU_Muenchen / IMPRS_ML). Pushing the limits of microscopy!

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

Excellent work, check it out!

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

Here’s their paper: biorxiv.org/content/10.64898/2026.01.23.701081v1 And our work: biorxiv.org/content/10.64898/2026.01.23.701249v1 Many thanks to @jungmannlab.bsky.social, all the co-authors and everyone who partook in this project! 5/5

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

Bonus: We’re not the only ones to come up with an idea like this – @fbzt.bsky.social has developed a closely related technique, so we’re extra confident about applicability and reproducibility! 4/5

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

Key achievements: • 41 targets in just 6 rounds. • <30 min total acquisition time for FOVs over 100×100 µm². • ~2.5 nm localization precision. • ~up to 97% decoding accuracy in intact cells. Dive into nanoscale spatial proteomics with standard DNA-PAINT reagents! 3/5

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

Core Idea: Targets are not labeled with one unique docking strand. Instead, each target is encoded by a combination of orthogonal docking motifs. Each imaging round reads out one motif → identities are decoded combinatorially. Thus: non-linear scaling of target number with imaging rounds! 2/5

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Philipp Steen @philippsteen.bsky.social · 26/01/2026

How do you scale super-resolution microscopy to dozens of proteins without linearly scaling imaging time? We introduce Combi-PAINT: a combinatorial DNA-PAINT strategy that breaks the 1-target-per-round bottleneck of Exchange-PAINT: www.biorxiv.org/content/10.6... 1/5

biorxiv.org

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Philipp Steen @philippsteen.bsky.social · 08/05/2025

Pretty images are one thing, but quantitative analysis of your super-resolution data is key! Check out our new paper where we introduce a method to investigate protein oligomerization and spatial patterns!

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