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title: CryoCloud 2.11 is here – now with up to 4x faster motion correction
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Version 2.11 brings faster motion correction, contamination detection in CryoCloud Picker, and major performance boosts across the platform.

| View in browser Hi there, We’re back with another update, and it's a big one! We’re excited to announce CryoCloud version 2.11!   Version 2.11 introduces major performance improvements across the app, as well as smarter particle picking tools – all designed to accelerate your cryo-EM data processing workflows.   You’re receiving this email because you have an active CryoCloud account. If you don’t wish to receive future release updates, you can unsubscribe at the bottom of this email. 🚀 New Features CryoCloud Motion Correction (MotionCorr CC) Our new in-house, GPU-accelerated motion correction job, MotionCorr CC, delivers up to 4× faster motion correction compared to the Relion's implementation of motion correction previously available on CryoCloud. MotionCorr CC uses patch-based and dose-weighted alignment, and is fully compatible with the available polishing jobs.  Automatic Contamination Detection in CryoCloud Picker The Picker now automatically detects both ice contaminations and carbon edges, and excludes particles from those areas helping you achieve cleaner particle stacks with minimal manual filtering. Maximum Runtime Control You can now define a maximum runtime for any job (default = 24 hours, except for Polishing = 72 hours). ⚠️ Sometimes jobs can get stuck and continue using compute resources unnecessarily. Setting a maximum runtime helps prevent this. If a classification or refinement job runs longer than expected and stops at the limit, you can easily continue it from the last iteration. Improved Billing Logic Filtering in the Billing page now supports AND/OR logic, giving teams more flexibility in monitoring compute costs and resource sharing. (Admin-facing feature) ✨ Improvements Faster CryoCloud Picker Result Loading CryoCloud Picker and Topaz result generation is now roughly 4× faster and more robust, greatly improving responsiveness when visualising outputs from large particle-picking jobs (e.g. datasets with many micrographs or particles).   Faster X-ray Dataset Loading and Project Setup X-ray datasets and projects now load and display contents 10–20× faster, making it easier to navigate projects with hundreds of subsets.   Restrict Project Inputs to Matching Dataset Types Projects can now only use datasets of the corresponding type (e.g. cryo-EM or X-ray), ensuring proper compatibility and preventing user errors.   Simplified Job Creation The Add Job dialog has been streamlined – parent node selection is now automatic, making it quicker and easier to start new data processing jobs.   Specify Target Pixel Size During Particle Extraction You can now control the extent of particle binning by defining a target pixel size in an Extract job. This works with both automatically calculated and manually defined box sizes. Need help or have feedback? CONTACT SUPPORT CryoCloud, Princetonlaan 6, Utrecht, Utrecht 3584 CB, Netherlands Unsubscribe Manage preferences |
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