Open-Source Spatial Transcriptomics developed in the @N_Rajewsky lab, @MDC_Berlin

Berlin
Joined October 2023
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/S0092…
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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
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Terrific work, huge congrats Marie, Daniel, Elena, Pino, Nikos, Nikolaus and everyone involved!! Likely a game changer for many labs doing spatial omics 🚀🚀🚀
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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 @N_Rajewsky lab 📄Preprint: tiny.cc/openst 🧵⬇️
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