The patented reconstruction algorithms powering cryoSPARC consistently enable high resolution structures for multiple near-native states of therapeutically important protein targets, complexes and viruses. Use specially designed algorithms for complex structures, including membrane proteins, GPCRs, and targets with ligands bound. Read more about the algorithmic innovations powering cryoSPARC in Nature Methods.
Discover unexpected structures and conformational states directly from the data. The patent-pending reconstruction algorithms underlying cryoSPARC enable rapid heterogeneous reconstructions without the need for prior structural knowledge.
Obtain the highest resolution results in minutes on consumer-grade hardware using cryoSPARC’s patented refinement algorithms. Leverage algorithmic speed to explore subsets of data and perform multiple refinements in parallel. Validate results with standard statistical tests.
Leave command line behind. Seamlessly manage projects, curate data sets and perform quality control. Use the simple drag and drop interface to create automated workflows that run on their own. Watch your reconstructions progress in real-time. Export workflows for reproducible, publishable-quality results.
Integrate with computational hardware, manage users, jobs, and data. CryoSPARC's custom scheduler works with your workstation, server or cluster scheduler to optimize computational efficiency. Organize metadata and backup results seamlessly. Train new users easily and enable a powerful collaborative workflow for your team. Spend less time dealing with code, and more time gaining biological insight.
You don’t need to be a cryo-EM specialist to benefit from the value this breakthrough offers. CryoSPARC is the only cryo-EM platform designed and built by computer scientists and professional software engineers. Our goal is to make cryo-EM accessible and easier to employ regardless of our users' scientific background or level of expertise.
Use the best workflow and tools to securely and seamlessly process raw microscope data into actionable insight: