Open-Sourced Interactive Flow Cytometry Trainer Combines 3D Visualization and AI
jermins · reddit · 2026-08-03
A hospital lab scientist leveraged AI Agents to develop Flow-Gate Learn, an open-source web application designed to improve medical training beyond traditional slideshows. It guides staff in using flow cytometry to identify cell populations and assist in diagnosing leukemia and lymphoma.
Key features include:
- Interactive Plotting & Gating: Supports comparing normal blood vs. Acute Myeloid Leukemia (AML) cases, with rectangle, polygon, and auto-gating tools.
- 3D Cell Inspector: Uses WebGL and Three.js to render realistic cell models, allowing users to visually inspect membranes, nuclei, and surface receptors.
- Instrument Simulator: Models the optical, fluidic, and electronic subsystems of a 10-color, 3-laser flow cytometer.
The project is open-source, currently featuring normal and AML patient data, with plans to add more cases.
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