Data under control
Studio runs on a local PC in your lab — images and models never leave your machine. No internet access is required, making it fully compatible with air-gapped environments.
AI image segmentation for microscopy
AI image segmentation from the ground up
Clemex Studio is an intuitive platform for training image segmentation models. Specialized for microscopy. Designed for domain experts, no AI experience required, no coding needed. Built with AI from the ground up.
Automation you didn't know was possible.
Still on manual counting, intercept, or point counting because detection never held up? Clemex Studio lets you build and validate that detection step yourself on hard microscopy images. No need to call the data-science team.
Select a capability to see it in action.
Build your detection method in three steps
Mark features on a few representative images, train a model in minutes and then iterate until you are ready to validate on out-of-distribution images to sign off. No code, no IT project, no waiting for data scientists.
AI governance
Complies with your AI governance framework out of the box
Regulated and enterprise labs need governance built into the product, not a checklist bolted on later. Clemex Studio gives you data under your control, performance validation in the workflow, and a clear approval path before anything runs in production.
Performance validation
The Validate step makes it simple to visually compare your annotations against the algorithm's output — side by side, on images the model has never seen — so you can confirm it generalizes before deployment.
Deployment
Methods follow a Develop → Approve → Deploy cycle before reaching production. Any subsequent change to a deployed method is tracked in the audit trail for 21 CFR Part 11 compliance.
Insights & data
Iteration is fast — but knowing when you're done requires more than looking at overlays. Studio gives you the numbers to make that call confidently.
A head start with pretrained models.
You do not always start from a blank model. Clemex Studio includes pretrained algorithms that give your lab a stronger starting point than generic AI models: they are designed for microscopy images, common preparation artefacts, and the measurements your lab needs for production analysis.
What can take days or weeks from a blank model often takes hours with a pretrained algorithm.
Built for teams
Studio is built for the way microscopy labs actually work — specialists, reviewers, and operators sharing methods and findings across projects.
More ways Studio speeds up your workflow
Beyond the core annotate → train → validate loop, Studio includes practical shortcuts that specialists reach for every day — each designed to save time without adding complexity.
Use model predictions as annotations
Select objects detected by the model and convert them into training annotations — refine your algorithm without labeling everything from scratch.
Thickness measurement
Measure thickness on any segmented shape — open or closed contours. Coatings, walls, layers — any structure where distance along the feature matters.
New to AI? Clemex can help at every step.
Managing your first microscopy AI project can feel uncertain—which images to annotate, how much training is enough, how to validate before production, and when the method is ready for release. Clemex services use the same Studio workflow we ship: you are never on a separate consulting toolchain. Engage us for a little guidance or a fully managed turnkey AI project, delivered as a method your lab can run, validate, and adapt.
Project training
Hands-on guidance on how to run an AI project in Studio—scoping the application, building a representative image set, planning annotation, validation, and release into production.
Annotation
Clemex can annotate representative images when your specialists are bandwidth-limited, using the same Studio tools and definitions your team will maintain in production.
Validation
Support for metric validation, out-of-distribution testing, and sign-off documentation—so you can approve an algorithm on the quantities your lab actually reports, not mask appearance alone.
Custom development
Software development to extend Studio with custom features, integrations, or workflow tooling when your environment needs more than the standard product.
Your pace, your scope. From an afternoon of coaching on your first model to Clemex owning annotation, training, validation, and delivery—a turnkey AI project you can fine-tune in Studio whenever you are ready.
Talk to us about Studio servicesFrequently asked questions
What is Clemex Studio?
Clemex Studio is an AI-powered platform for creating image segmentation algorithms for microscopy. Users distinguish phases or particles rapidly without advanced programming skills.
How does segmentation work in Clemex Studio?
You annotate regions on representative images, train a model on your local data, and validate the detection method in Studio. When paired with Clemex Vision, approved methods can support automated detection and measurement on production images.
How many images do I need to train the AI?
Often 1–10 representative images are enough to start; more complex applications may need additional annotated examples before export.
How is Studio different from traditional thresholding?
Thresholding assumes separable gray levels. Studio learns from your annotations when stains, twins, or phase contrast make classical methods unreliable.
Can I use Clemex Studio with SEM images?
Yes. Studio is highly effective with various imaging sources, including Scanning Electron Microscopes (SEM). It has been successfully used for complex tasks like analyzing pollen or cross-sectioned cathodes from lithium-ion batteries.
What specific applications can be analyzed?
Any routine where trainable segmentation adds value — nodularity, multi-phase stainless, porosity, and custom materialographic challenges beyond the standard library.
Is support available if I get stuck?
Request assistance from within the product; Clemex specialists respond with human support tailored to your workflow. (In-app product name may differ from web copy.)
Does Studio require an internet connection?
On-premises Studio can run on your infrastructure without internet access when your IT policy requires it (confirm licensing and update mechanics with Clemex). Clemex-hosted Studio is a separate option with data residency and access defined in your contract.
How does Studio validate an algorithm before I use it in Vision?
In Studio you review masks on images — including out-of-distribution samples not used in training — and compare production metrics (e.g. grain size, area fraction) computed from your annotations vs from the algorithm. When results are acceptable, approved methods can be used in Clemex Vision production workflows; operators run the locked routine there.
What is out-of-distribution (OOD) validation?
OOD validation means testing the model on images that were not part of training — for example a new etch, lighting setup, or supplier batch. It helps catch cases where the mask looks fine on training fields but fails on new conditions.
Can I compare algorithm results to my annotated reference measurements?
Yes — that is the intended sign-off workflow for many labs. Studio supports comparing the same business metric from annotations (your reference) and from the algorithm's segmentation, using the measurement definition you will rely on in Vision. See the governance section for the grain-size example.
Does Clemex Studio support 21 CFR Part 11 or audit trails?
Electronic records, audit trails, and e-signature on production results are typically positioned on Clemex Vision for regulated workflows. Studio is where you develop and validate the algorithm before it enters that environment. Ask Clemex for the current compliance scope for your deployment (on-prem vs hosted) before making regulatory claims on your validation file.
If Clemex builds our algorithm, how do we validate it ourselves?
Clemex services use the same Studio toolchain and deliver a method your team can review in Studio. Your team can run the same metric and OOD validation, adjust annotations, fine-tune if needed, and release to production only after your own sign-off.
Ready to try Studio?
Start a trial on your own images, or talk to Clemex about licensing, services, and how Studio fits your production workflow.