Current assays tell you whether tumor cells die. CellWorkflow tells you why. Track individual T cells through 3D organoid co-cultures, classify their behavioral phenotypes, and quantify killing efficiency — all from your browser.
Live-cell imaging can reveal how immune cells behave in tumors. But the tools to analyze this data haven't kept pace.
Upload your co-culture imaging data. CellWorkflow handles the rest.
Drag and drop your organoid co-culture imaging files directly into the browser. TIFF, ND2, CZI, and more are automatically converted for efficient cloud streaming. Terabyte-scale 5D datasets ready in minutes.
Connect visual nodes for T-cell segmentation, tracking, and behavioral classification. Adapt AI models to your imaging setup without writing code. Every step runs on cloud GPUs with instant previews.
CellWorkflow classifies each tracked cell by behavior: serial killers, engagers, scanners, and more. Export motility metrics, killing efficiency, and engagement statistics as publication-ready figures or CSV data.
3D tracking, behavioral classification, and customizable AI models in a single cloud-native workflow.
Render immune-tumor co-cultures in full 3D directly in your browser. Navigate Z-stacks, time-lapses, and multiple channels at terabyte scale.
Track hundreds of individual immune cells across time-lapse experiments. Handles cell divisions, contacts, and complex 3D trajectories.
Classify tracked cells into functional states: serial killers, engagers, scanners, and more. Quantify killing efficiency and contact dynamics.
Process 5D datasets on scalable cloud GPUs. No workstation upgrades needed. Results in hours, not weeks.
Adapt pre-trained segmentation models to your specific organoid setup, imaging modality, and cell types. No coding required.
Define standardized analysis workflows that every lab member follows. Version-controlled results for multi-site studies and regulatory submissions.
CellWorkflow is built on BEHAV3D, a methodology validated in leading journals and adopted by major pharmaceutical companies.
What changes when behavioral analysis becomes accessible.
See how immune cells actually behave in tumors, not just whether tumor cells die. Identify serial killers, measure engagement dynamics, and quantify killing efficiency per cell.
Drag-and-drop workflows replace Python scripts and ImageJ macros. Any immunotherapy researcher can run BEHAV3D-level analysis.
Process hundreds of co-culture experiments in parallel on cloud GPUs. Turn behavioral analysis from a boutique capability into a screening tool.
Standardized pipelines ensure consistent results regardless of who runs the analysis. Critical for multi-site studies and regulatory submissions.
Automated tracking and classification replace manual annotation. What took a computational biologist weeks now takes an afternoon.
Fine-tune AI models on your specific organoid system, imaging modality, and cell types. Works with CAR-T, bispecifics, CAR-NK, and more.
Move beyond binary kill assays. CellWorkflow reveals the behavioral mechanisms that determine whether immunotherapy succeeds or fails. Request access to start analyzing your co-culture imaging data.