Our paper on the #CsMT workflow to reconstruct microtubules in #Cryosparc is now online. Fantastic work from several undergrads in the lab and Asuva Arin, and fantastic collaboration with the Cianfrocco lab.

Please try it out; it is simple and quick. #OpenScience

doi.org/10.1107/S205...

Connecting image formation to data processing provides valuable context for interpreting your data, identifying potential artifacts, and understanding the principles behind downstream processing. All this and more, in the #CryoSPARC Guide 👉 guide.cryosparc.com/cryo-em-foun...

🧬 In honor of Breast Cancer Awareness Month, we’re sharing a structural biology story about NBCn1, a plasma membrane transporter that helps breast cancer cells regulate their intracellular pH and survive in an acidic tumor microenvironment.

Read more on the #CryoSPARC Blog! 👉 bit.ly/4jbfn88

🇨🇦 Last week, we wrapped up “Beyond Consensus Refinements: Advanced Cryo-EM Data Processing with #CryoSPARC” in Toronto!

Thank you to all the #cryoEM scientists who joined us, and to @sickkidsto.bsky.social for another great collaboration!

We already look forward to the next workshop! Stay tuned!

🇨🇦 Today we kicked off our hands-on workshop, “Beyond Consensus Refinements: Advanced Cryo-EM Data Processing with CryoSPARC,” in collaboration with The Hospital for Sick Children @sickkidsto.bsky.social!

Excited for two days of diving deeper into advanced #cryoEM data processing with #CryoSPARC. 🔬

🔎 A classic #cryoEM particle curation conundrum: 2D or 3D classification?

"Decoy Classification" using Heterogeneous Refinement in #CryoSPARC curates particles directly in 3D, helping remove junk particles while preserving valuable views.

Read more in the CryoSPARC Blog 👉 bit.ly/3SXfwS0

🚀 Register now for the 2026 Stanford-SLAC CryoEM Center (S2C2) Data Processing Workshop, December 9-11!

We’re excited to contribute as #CryoSPARC instructors to this hybrid workshop, together with instructors from CryoDRGN, EMAN2 and AreTomo!

More info and registration 👉 bit.ly/4gXbnXd

💡 The idea is simple: getting to know your data is often the shortcut to more efficient particle picking. In our latest #CryoSPARC blog post, we cover how to speed up #cryoEM data processing through efficient early curation of your dataset. 👉 cryosparc.com/blog/curatio...

🚀 Next week we will be at the 2026 New England #Cryo-EM Symposium at MIT, showcasing recent #CryoSPARC developments.

If you're attending, we'd love to connect! cryoem.mit.edu/2026-ne-cryo...