Computing
Large datasets require powerful processing for motion correction, CTF estimation, classification, and refinement.
CryoEM Image Processing on AWS
Accelerate cryoEM from microscope to structure.
Clovertex helps structural biology teams process cryoEM data faster with AWS, optimized storage, scientific applications, and NUMEN-powered deployment.
AWS computeWEKA storageCryoSPARC and RELIONNUMEN deployment
CryoEM-aware compute guidance
NUMEN helps teams compare scientific tooling, compute shape, cost, and launch readiness before work starts.
The challenge
CryoEM research strains compute, storage, cost, and accessibility.
High-throughput structure determination requires fast storage, scalable CPU/GPU compute, optimized applications, and operational guardrails.
Storage
I/O bottlenecks and data copies slow down processing and increase operational friction.
Cost
Powerful compute and high-performance storage need cost controls, visibility, and shutdown policies.
Accessibility
Researchers need easy access to tools without waiting on complex infrastructure deployment.
Integrated solution
A practical cloud architecture for structural biology teams.
Clovertex combines AWS, high-performance storage, scientific applications, and NUMEN workflows to give researchers fast, governed access to processing environments.
High-speed data processingUse high-performance storage and optimized infrastructure to reduce turnaround time.
On-demand computeScale CPU and GPU resources based on workload requirements.
Simplified launchUse NUMEN to deploy, configure, and access domain-specific tools.
Cost and governanceApply budget visibility, idle-stop choices, status tracking, and operational controls.
NUMEN for cryoEM
Scientists make scientific decisions, not infrastructure decisions.
NUMEN can guide cryoEM users through tool selection, GPU versus CPU needs, EC2 instance recommendations, cost visibility, idle-stop choices, configuration review, and ready-to-launch approval.
RAG-guided RELION and CryoSPARC workflow readiness.EC2 CPU/GPU recommendations with cost context.Audit-ready configuration, job status, logs, and runtime visibility.
RELION-aware assistant
Ask NUMEN what happened inside the cryoEM workflow.
For RELION pipelines, NUMEN can answer operational and scientific questions by reading job history, logs, job.star files, pipeline dependencies, output STAR tables, and success or failure markers.
Job status
Ask which RELION jobs are running, scheduled, finished, failed, or filtered by MotionCorr, CTF, Import, or refinement stage.
Timing and performance
Ask how long a job took, average runtime by job type, which job took longest, and whether warnings or errors appeared in run logs.
Inputs and dependencies
Ask which STAR file fed a job, which MotionCorr output drove CTF, what outputs were produced, and which downstream jobs depend on them.
Dataset and quality
Ask how many micrographs were processed, defocus ranges, missing values, bad CTF fits, and motion or CTF quality signals.
Scientist questions NUMEN can handle
How many RELION jobs ran? What was the last job that finished? Show only MotionCorr jobs. Which job produced corrected_micrographs.star? What is the defocus range for the last CTF job?
What powers the answer
NUMEN can use filesystem ownership, job directories, default_pipeline.star, job_pipeline.star, run.out, run.err, output STAR headers, timestamps, and success or failure files.
Client success
Scientific computing expertise for cryoEM drug discovery.
"Clovertex has been extremely knowledgeable and was able to deliver beyond the requirements and scope of the work. I would recommend Clovertex to any colleagues applying cryoEM to drug discovery who do not have a dedicated computational scientist on their team."Associate Director, DevOps, Emerging Biotech
Unlock high-throughput structure determination
Build a faster, scalable, cost-efficient cryoEM processing workflow.
Clovertex can help design the AWS, storage, application, NUMEN, and operating model your structural biology team needs.