Welcome to Biom
Biom is a browser-based research workspace where scientists can view, analyze, and collaborate on their data. It supports images, video, electrophysiology recordings, tabular data, and more — unifying data storage, multi-modal visualization, AI-powered analysis, pipeline building, and shareable results into one platform.Quickstart
Get up and running in minutes.
Supported File Types
OME-TIFF, Zarr, DICOM, NWB, FITS, and 30+ more formats.
AI Agent
Analyze images, run models, and build pipelines with natural language.
Models
SAM3, DeepLabCut, Suite2p, SpikeInterface, PlantCV, and SExtractor.
What makes Biom different
No server required for image rendering
No server required for image rendering
Unlike most web-based scientific viewers that rely on server-side rendering, Biom decodes and renders images entirely in the browser using WebAssembly. TIFFs, OME-TIFFs, CZI, ND2, LIF, and 95%+ of scientific image formats open instantly — no BioFormats server, no conversion step, no waiting.
Unified workspace
Unified workspace
No more switching between tools. View images, run AI models, annotate results, and share findings — all in one browser tab.
Multi-pane viewer
Multi-pane viewer
Split your workspace into up to 6 independent panes. Each pane has isolated viewport state — zoom, pan, channel adjustments, and annotations are all per-pane.
AI-powered analysis
AI-powered analysis
Use natural language to segment cells, track animal pose, sort spikes, analyze calcium imaging, and more. The AI agent can also write and run custom Python code in a sandboxed environment.
Any model from GitHub
Any model from GitHub
Biom ships with prebuilt models like SAM3, DeepLabCut, and Cellpose — but you can also add any model from a GitHub repository. Just paste a link on the Models tab and Biom builds it for you.
Cloud-native storage
Cloud-native storage
Biom Drive gives you managed cloud storage with uploads up to 50 GB. Connect Google Drive or bring your own S3/GCS/Azure bucket.
Scientific databases
Scientific databases
Browse and mount datasets from DANDI, IDR, Allen Brain Atlas, and AWS Open Data directly into your viewer.
Platform overview
| Feature | Description |
|---|---|
| Viewer | Client-side rendering of 95%+ scientific formats — no server needed |
| Models | Prebuilt scientific models + add any model from a GitHub link |
| AI Agent | Natural language prompt bar for data analysis and code execution |
| Pipelines | Visual pipeline builder with AI-generated workflows |
| Sharing | Link-based sharing with viewer/commenter/editor roles |
| Decks | Capture viewport snapshots into presentation-ready card collections |
| Databases | DANDI, IDR, Allen Brain Atlas, AWS Open Data connectors |
| Storage | Biom Drive, Google Drive, BYOB (S3/GCS/Azure) |