A spatial transcriptomics method that… 🧪is easy to use 🔬has high resolution 🪙is cost-efficient 🌍scales to 3D Just in time for Xmas: Open-ST, a end-to-end, open-source method that checks all boxes, from the Nikolaus Rajewsky lab 📄Preprint: tiny.cc/openst 🧵⬇️

The Nikolaus Rajewsky lab at the #mdcBerlin has developed a spatial transcriptomics platform to reconstruct tissues in #3D with subcellular resolution. The platform will enable a deeper understanding of basic biology and of how diseases develop: mdc-berlin.de/news/press/3d-… Cell

Our #OpenST paper is now online Cell! authors.elsevier.com/c/1jJckL7PXqR3U Very cool updates ahead🧵⬇️ Marie Schott Elena Splendiani #GiuseppeMacino Nikos Karaiskos Nikolaus Rajewsky

i am so excited about our open source inexpensive, sub-cellular capture, do-it-yourself Open-ST that transforms tissues into virtual tissue blocks in 3D - IDing pathways & gene programs driving phenotypes. a huge congratz to the team! cell.com/cell/abstract/…

And it's out 🎉 Check out our updated paper & tweetorial on Open-ST, our DIY spatial transcriptomics method. Many, many thanks to everyone involved in this huge & exciting project! #OpenST #SpatialTranscriptomics

Terrific work, huge congrats Marie, Daniel, Elena, Pino, Nikos, Nikolaus and everyone involved!! Likely a game changer for many labs doing spatial omics 🚀🚀🚀

In the latest issue! Open-ST: High-resolution spatial transcriptomics in 3D dlvr.it/TBB6Kl