🧪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

Molecular Cell @cp-molcell.bsky.social · 7mo ago

The latest issue is now online www.cell.com/molecular-ce...

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]

Toward community-driven visual proteomics with large-scale cryo-electron tomography of Chlamydomonas reinhardtii

Using the latest advances in instrumentation and computational workflows, Kelley et al. present a large-scale annotated cryo-electron tomography dataset of the model green alga, Chlamydomonas reinhard...

cell.com

Molecular Cell @cp-molcell.bsky.social · 7mo ago

The latest issue is now online www.cell.com/molecular-ce...

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

Toward community-driven visual proteomics with large-scale cryo-electron tomography of Chlamydomonas reinhardtii

Using the latest advances in instrumentation and computational workflows, Kelley et al. present a large-scale annotated cryo-electron tomography dataset of the model green alga, Chlamydomonas reinhardtii. This unprecedented community resource is rich in high-resolution biological information and empowers the development of new methods for visual proteomics.

dlvr.it

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...

Optical generative models - Nature

Optical generative models are demonstrated for the rapid and power-efficient creation of never-seen-before images of handwritten digits, fashion products, butterflies, human faces and Van Gogh-style a...

nature.com

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...

Three AI-powered steps to faster, smarter peer review

Tired of spending countless hours on peer reviews? An AI-assisted workflow could help.

nature.com

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.

IMP@impvienna.bsky.social · 2y ago

🔬Our @haselbachlab.bsky.social with Pavol Harar have developed ‘FakET’! The new method creates ‘fake’ electron microscopy images to train AI, reducing manual work in particle identification. Read the full story: www.imp.ac.at/news/article... @viennabiocenter.bsky.social #AI #cryoem #microscopy

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 🧪🧶🧬

AI x Bio Discovery@aixbiobot.bsky.social · 2y ago

Scaling data analyses in cellular cryoET using comprehensive segmentation [new] Comprehensive segmentation of cryoET data enables ontology-based voxel ID, used for context-aware particle picking and faster template matching.

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! 🤝

Alicia Michael@aliciakmichael.bsky.social · 2y ago

I am happy to be a part of this effort and looking forward to the discoveries this dataset will enable! If you work with this dataset in the future, please add any annotations to the GitHub repository github.com/Chromatin-St... Thanks @paloha.bsky.social for spearheading the efforts with this!