🧪Scientists from our Haselbach lab captured how proteins begin to fold as they’re being made. Using cryo-EM, they visualised chaperones guiding nascent proteins on the ribosome: https://www.nature.com/articles/s41467-025-67685-6

New publication by ISTA scientists @aliciakmichael.bsky.social, @paloha.bsky.social, and collaborators made it to @cp-molcell.bsky.social's cover. The study demonstrates the potential of modern cryo-ET techniques and open data sharing to empower visual proteomics. More: bit.ly/49wzHdr

This one was quite the journey! The paper describing the #ChlamyDataset is finally out and on the cover of Mol Cell! This beautiful rendering made by co-author @jessheebner.bsky.social and Holly Peterson shows an instance of mitochondrial fission found in the dataset 😍 [Maybe long thread ahead]

Online Now: Toward community-driven visual proteomics with large-scale cryo-electron tomography of Chlamydomonas reinhardtii Online now:

Our poster was awarded “Best Poster” at the Institute of Science and Technology Austria PhD Welcome Poster Session 🎉 Huge thanks to everyone who stopped by to look at our 2.5-dimensional dive into AI-Ready Cryo-Electron Tomography Simulations of the Whole Cell.

Mark your calendar for our 70th Vienna Deep Learning Meetup at Magenta Telekom. We’re bringing a lineup of great talks from Muhamed Loshi (RBI) and my colleagues Jonathan Scott & Kristina Kapanova (ISTA). Join us for federated learning, agentic AI security & scientific HPC! 🚀 RSVP: lnkd.in/dV8xVSQM

Tomorrow, on 18 Nov, I'll again give a talk at YSS'25. This time, I will present our work on AI-Ready Cryo-Electron Tomography Simulations of the Whole Cell. This is a project I’m especially fond of. I had the idea years ago, and it’s finally taking shape at @istaresearch.bsky.social & @rug.nl

Look at this beauty. Light-based hardware for running neural networks efficiently. My totally out-of-expertise idea from years back and scientists at Bioengineering Department, UCLA are making this a reality! www.nature.com/articles/s41...

1/5: Over the last few months, I have been working on an update for the #FollowRelionGracefully dashboard, which offers improved real-time job previews for #cryoEM #Relion jobs.

Let's talk about this Nature piece in more detail. I've rarely read something so anti-scientific anywhere short of the National Review. www.nature.com/articles/d41...

To all #TeamTomo #CryoET and #Chlamydomonas aficionados: we have updated EMPIAR-11830 with a bug fix concerning some cryo-CARE denoised tomos as well as additional files and metadata! 🎉👩🏽‍💻 www.ebi.ac.uk/empiar/EMPIA... A little thread about what's new... 🧵 1/n

Finally, my postdoc work is published in Cell Structure! 🎉 Grateful for the chance to apply deep learning to cryo-ET and learn from @haselbachlab.bsky.social about structural biology🦠. Huge thanks to Lukas Herrmann for coding help and Philipp Grohs for my position and all the GPUs.

WOW!😍 This is exactly the type of development we hoped the Chlamy dataset would help empower! Lots of organelles and cellular features labeled automatically, context-aware particle picking, & area-selective template matching #TeamTomo 🔬 Big props to @mgflast.bsky.social @thomsharp.bsky.social 🧪🧶🧬

Thanks Alicia! I am also happy to have helped finalize this work. I hope computational biologists will find the repo useful. We need to share more annotations in accessible format, the algorithms are hungry 😄 #teamtomo, consider sharing your data via pull requests—let’s grow this together! 🤝