Get to results, not tool-building
You're running a lab, not a software team. Biodock gets you from raw microscopy images to quantitative, publication-ready results — without writing code or building analysis pipelines from scratch.
Start analyzing today, not after a training project
Upload your images — .svs, .czi, .ndpi, .lif, .tif, and more, any size, from a single crop to a multi-gigapixel whole-slide scan — and get going immediately. Browse hundreds of pre-built models from Biodock and the scientific community for common tasks like cell counting, tissue segmentation, and organoid quantification, so you're not starting from zero even if nothing like your exact experiment exists yet.
No ML background required
If a pre-built model doesn't fit your specific images, train your own — no coding, no ML expertise needed. Start with ready-to-use AI-assisted labeling, and as you label, train a custom model directly in the platform to auto-label the rest of your dataset. Correct only where needed, retrain as you go, and you'll have a model built specifically for your images in minutes, not weeks.
Class hierarchies let analysis answer biology-shaped questions
Results you can trust and reuse
Every analysis produces object-level, quantitative output — measurements, counts, classifications — with full traceability back to the original image. Export figures and data for your papers, or download the underlying labels to reuse in future experiments.
Built for how labs actually work
Share files, AI Projects, and results with your PI, collaborators, or co-authors — everyone works from the same data instead of passing files back and forth. Version history keeps every round of labeling and analysis recoverable, so nothing is lost between lab members or semesters.
Pick the measurements your analysis reports, per object class
Turn your images into biological intelligence.
Start free, or talk to our team about your workflow.