Algorithms
Accelerate every analysis stage with algorithms built for cryo-EM.
12
Workflow algorithms
GPU
Accelerated processing
Hours
From raw data to insight
Benchmarks are presented with their dataset and configuration context.
What it does
Cryo-EM processing is a chain of dependent steps: motion correction, CTF estimation, particle picking, 2D and 3D classification, refinement and post-processing. On most setups each step is a separate program, often on a separate machine, and someone carries the output of one step into the next by hand.
CryoCloud runs the whole chain in one place. Its own algorithms, including CryoCloud MotionCorr, the CryoCloud Picker, AutoClass2D, AutoClass3D and AutoMask, sit alongside established packages such as RELION 5, CTFFIND 4, Topaz, cryoDRGN, DeepEMhancer and ModelAngelo. A dataset can go from raw movies to a sharpened, masked map without leaving the platform.
How it works
Every stage runs as a job in the cloud, with its inputs, settings and outputs recorded. When one job finishes, its output is ready for the next, so there is no exporting, copying or reformatting between tools.
The steps that usually need a person watching are automated. The Picker finds particles and rejects contamination, junk detection removes particles that would drag resolution down, and AutoClass2D and AutoClass3D choose which classes to carry forward.
Because the settings are stored with each job, any step can be cloned and rerun with a change instead of rebuilt from the start.
Schematic. The seven stages of a CryoCloud workflow and the tool that runs each one. CryoCloud's own algorithms and established packages share one data path, so nothing is exported between steps.
Where it sits
Algorithms are the engine of the platform. Interfaces and Workflow is how you drive them, Infrastructure is what they run on, and Benchmarks is where their speed and quality are measured.
Each algorithm has its own page covering what it does, how it works and where it fits. Start with CryoCloud MotionCorr, the first step every dataset goes through.
At a glance
Across the cryo-EM workflow
Elastic GPU compute
Cryo-EM datasets
Analysis-ready results
Continue exploring CryoCloud
Connect this capability to the algorithms, workflow tools, and cloud infrastructure that keep every project moving.
ALGORITHM LIBRARY
Explore the full workflow
Browse each analysis stage, from motion correction through reconstruction.
View all algorithms
CONNECTED WORKSPACE
Keep projects in flow
See how jobs, datasets, and scientific decisions stay visible in one workspace.
Explore workflow tools
CLOUD INFRASTRUCTURE
Scale without the queue
Learn how on-demand GPU compute and managed storage support every analysis stage.
Explore infrastructure
Ready to plan your CryoCloud workflow?