CryoCloud

February Map of the Month: Aca2–RNA

We reprocessed EMPIAR-11918 and achieved 2.76 Å in 50.5 compute hours.

Sub-3 Å at ~40 kDa is a strong example of what modern cryo-EM workflows (and RELION with Blush) can deliver for small targets.

📧 hi@cryocloud.io

#CryoEM #CryoCloud

🌟 Employee Spotlight: Thijmen van Buuren

Over the past two years, Thijmen has strengthened CryoCloud’s automation workflows, advancing our research infrastructure and scalable data pipelines.

As he wraps up his time with us, we thank him for his dedication and impact. All the best, Thijmen! 🚀

🚀 CryoCloud v2.22 is live!

What's new:
🧬 cryoDRGN-AI Ab Initio now available (see the GIF👇)
⚡ GPU-accelerated MotionRefine CC (alpha): 2–3× faster polishing
📊 Redesigned project overview
📺 Embedded viewers in multiple jobs

🔗 connect.cryocloud.io/release-note...

#CryoEM #cryoDRGN

🚀 We’ve launched a new CryoCloud website!

CryoCloud has grown significantly over the past few years – more users, more deployments & ongoing technical development across infrastructure and automation. It was time for a website that reflects that evolution.

🌐 Take a look: www.cryocloud.io

#cryoEM

🚨 New blog: Automated cryo-EM analysis of the gastric proton pump

We reprocessed EMPIAR-11057 using a fully automated end-to-end workflow:
⚡ 2.6 Å in 43.5 hr (vs 2.8 Å published)
⚡ 2.4 Å after CTF refinement
⚡ Improved ligand density

🔗 Full article: docs.cryocloud.io/blog/

#cryoEM #CryoCloud

🚀 CryoCloud v2.21 is live!

This release delivers a major update to the workflows experience in CryoCloud:
🔹 Convert an existing project into a reusable workflow
🔹 Apply workflows mid-project to extend or repeat processing steps

📘 connect.cryocloud.io/release-note...

#CryoCloud #CryoEM

January Map of the Month: Gastric Proton Pump – Revaprazan Complex

🤖 2.6 Å map in 43h, fully automated, no user input
💡 All automation features are available to all CryoCloud users

Curious how your data would look reprocessed with #CryoCloud?
📧 hi@cryocloud.io

#cryoEM #DrugDiscovery

And because everyone loves GIFs – here are a few particularly icy micrographs, easily spotted using the new CryoCloud Picker filter 🔎❄️

🚀 CryoCloud v2.20 is live!

This release introduces advanced job-branch cloning (see ⬇️), contamination-based filtering, and several performance improvements across the platform.

📘 Full release notes → connect.cryocloud.io/release-note...

#CryoCloud #CryoEM

🌟 Welcome to the team, Paddy O'Brien! 🇮🇪

We’re thrilled to welcome Paddy as our new Structural Biology Applications AI Intern.

Fun fact: Paddy adds another nationality to CryoCloud’s already diverse mix, bringing us to 8 nationalities and counting! 🍀

Welcome aboard, Paddy! 🙌

#CryoCloud #CryoEM

🔎 Before diving into new 2026 data, we’re looking back at the highlights from the last six months.

⚡️From receptors to kinases and fibrils, each dataset was reprocessed in CryoCloud, often within <2 days, and all resolved to high-quality maps between 2.3 and 3.2 Å.

#CryoEM

Get started with CryoCloud:
👉 Learn more and book a call: www.cryocloud.io
👉 Sign up directly: app.cryocloud.io/sign-up
👉 Explore the docs: docs.cryocloud.io

📫 hi@cryocloud.io

New year, new projects — and often new tools to evaluate.

If you’re curious about CryoCloud, there are two simple ways to get started:
🔷 Free academic account
🔷 30-day evaluation trial

Links in the comments 👇

#cryoEM #structuralbiology

As 2025 comes to an end, thank you to the CryoCloud community.

Every conversation, dataset, and piece of feedback helps us build a better platform for structural biology.

From all of us at CryoCloud, wishing you a warm, restful holiday season and a great start to 2026. ✨

CryoCloud Map of the Month (Holiday Edition 🎄): Alpha‑Synuclein Fibril

For December’s edition, we reprocessed EMPIAR‑12229 and generated a 2.3 Å map of the in vitro alpha-synuclein fibril using CryoCloud.

🔬 Dataset size: 5,193 movies
🧠 Compute time: 56.5 hours

#CryoEM

📩 Want future updates in your inbox? Sign up here: 2dydb3.share-eu1.hsforms.com/2gc1LRqWkRJ6...

📢 CryoCloud Newsletter: End-of-Year Edition is out!

A huge thank you to our users, collaborators, and the structural biology community for being part of the journey this year 💙

👉 Read it here: connect.cryocloud.io/newsletter-d...

#CryoCloud #CryoEM #StructuralBiology #DrugDiscovery

🌟 Employee Spotlight: Boy Persoon

As Co-Founder and CPO of #CryoCloud, Boy has been the driving force behind turning our ambitious product vision into a functional, user-first platform.

If you’ve ever used our platform and thought “this just works” – Boy probably had something to do with it 🍀

🚀 CryoCloud v2.18 is live!

This release includes two new beta features designed to further automate #cryoEM workflows, along with other improvements.

What’s new:
🔹 AutoClass2D – automatically select 2D classes using a reference .mrc file
🔹 Workflow Export & Import

lnkd.in/eb8ic_TK

#CryoCloud

In our benchmarks, MotionCorr CC outperformed Relion’s CPU-based motion correction running on the CryoCloud platform across all detectors, movie sizes, and frame counts.

With GPU acceleration, MotionCorr CC delivers:
⚡ Up to 4× faster throughput
⚡ Up to 5,000 movies/hour
⚡ 50–75% lower compute cost
⚡ Full compatibility with downstream polishing & CTF refinement

🚨 New blog: GPU-accelerated motion correction

Motion correction remains one of the slowest and most costly steps in #cryoEM workflows. So we rebuilt it from scratch. Our new in-house GPU-accelerated CryoCloud Motion Correction is designed for speed, scale and high throughput.

lnkd.in/eiJgsYgJ

🧠 Six new algorithms added since launch, including CryoCloud Picker and CryoCloud MotionCorr, bringing major improvements in speed and quality
⚡ Automated workflows and rapid development across the entire platform
🔐 ISO 27001-certified processes

3 years in numbers:
💻 Over 100,000 GPU hours of data processing
🔬 Thousands of datasets processed across cryo-EM & X-ray
🚀 355 production deploys + 2,158 staging deploys – steady improvements week after week
👥 A growing global user community (hundreds of users including trials)

🔥 Three years ago, the CryoCloud platform went live 🎉

Today, scientists from 25+ countries rely on it every day for analysing their structural biology data – and we couldn’t be prouder of how far things have come.

Thank you to all our users, collaborators, and early supporters 💙

#CryoEM

🚀 CryoCloud v2.17 is live!

This release introduces Targets – a new way to organise datasets & projects around your molecule of interest.

Targets make it easier to browse results, store reference files in one place and launch automated workflows.

connect.cryocloud.io/release-note...

#CryoEM

November Map of the Month: CDK-activating kinase (CAK), an oncology target bound to the covalent inhibitor THZ1 💊

We reprocessed EMPIAR‑11793 and produced a 2.5 Å map of the ~85 kDa CAK-THZ1 complex using CryoCloud.

🔬 Dataset size: 12,572 movies
🧠 Total compute time: 52 hours

#CryoEM #CryoCloud

And if you missed the last release... with v2.15, we added three new cool structural-biology tools to the platform – LocScale2, CryoSieve, and EMReady!

Catch up here → connect.cryocloud.io/release-note...

🚀 CryoCloud v2.16 is live!

This release introduces filament support, including filament picking, visualisation, and a new Initial Model job type for helical workflows.

Full release notes → connect.cryocloud.io/release-note...

#CryoEM #StructuralBiology

🌟 Employee Spotlight: Anna Boronina

Anna brings a strong mix of ML and software engineering to #CryoCloud. She’s behind our ML-based particle picker, which has expanded since its initial release to include contamination segmentation, models for diverse targets & lightning-fast performance.

#cryoEM