The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge pubmed.ncbi.nlm.nih.gov/41280101/ #cryoem

CryoWriter: A Robotic Solution for Improved Cryo-EM Grid Preparation www.biorxiv.org/content/10.1101/2025.11.01.686008v1 #cryoem

AI just cracked de novo antibody design with a 100x leap! 🧪 Chai-2, a next-gen multimodal generative model, is shaking up protein design. With a 16% hit rate in fully de novo antibody design—over 100 times better than previous methods—it’s making drug discovery faster and more precise than ever.

This is near and dear to my heart these days. I would highly recommend The Immortal Life of Henrietta Lacks by Rebecca Skloot if you to get emotionally invested in why investing in medical research, cancer or whatever, and approaching it ethically is so damn import. bookshop.org/p/books/the-...

#CryoSPARC v4.7 is out! 🚀  Featuring a new automatic Micrograph Junk Detector that labels and rejects contaminants, new tools for curating subsets of particles, performance and stability fixes, and more! Full changelog: cryosparc.com/updates #cryoEM

🔬 Tired of dropping CryoEM grids during manipulation? Check out my 3D-printed holder! Download the STL file here: www.printables.com/model/900940.... Compatible with glow discharge systems, it makes your workflow smoother and more efficient. 💡 #CryoEM #3DPrinting #OpenScience

DM me or @cryoempapers.bsky.social if you want a paper bot for your subfield 😃

Laser Flash Melting Cryo-EM Samples to Overcome Preferred Orientation biorxiv.org/cgi/content/short/2024.11.21.624652v1

Overcoming the preferred-orientation problem in cryo-EM with self-supervised deep learning pubmed.ncbi.nlm.nih.gov/39558095/

Practical considerations for plunge freezing samples over 40 °C for Cryo-EM https://pubmed.ncbi.nlm.nih.gov/39549637/

For those who miss the cryoEM papers bot from Twitter, I’m happy to announce the new @cryoempapers.bsky.social! Let me know what you think. I will be tweaking the keywords and RSS feeds as I finalize it so I welcome any input.

Hello, #bluesci! I’m Shervin Nia, a PhD candidate in the lab of Z. Hong Zhou at UCLA. Looking forward to interacting with the community here and sharing some of my projects!