Browser-based platform for microscopy data visualization and AI-powered analysis. Access state-of-the-art deep learning models for segmentation, tracking, and quantification of biological data. No coding. No expensive licenses. No fragmented workflows.
Explore multi-dimensional microscopy data with Z-stacks, time-lapses, multi-channel overlays, and tiled imaging.
Create complex analysis pipelines with drag-and-drop nodes. No coding required—just connect, configure, and run.
Access Cellpose, StarDist, SAM and more. Fine-tune on your data with one click—no coding, no fragmented workflows.
Designed for speed. Built for reproducibility.
Drag and drop microscopy files directly into your browser. Files are automatically converted for efficient streaming and metadata is extracted. Terabyte-scale datasets ready in minutes.
Connect visual nodes—denoising, segmentation, tracking, quantification—without writing code. Each step runs on cloud GPUs. Iterate rapidly with instant previews.
Download publication-ready figures, CSV data, and annotated videos. Share workspaces with collaborators. Every analysis is versioned and reproducible.
Automated analysis pipelines that scale with your research. From developmental biology to drug screening, CellWorkflow accelerates discovery.
Beyond the technology—real benefits for your research.
Process terabyte-scale datasets without upgrading your workstation.
Browser-based access eliminates expensive per-seat licensing.
All datasets, workflows, and results in one accessible location.
No more switching between fragmented tools and manual file transfers.
From weeks of manual work to hours of automated processing.
Every analysis is versioned and shareable for transparent science.
Integrating cutting-edge AI models and scalable cloud infrastructure for reproducible analysis.
Render terabyte-scale datasets directly in your browser. Navigate through Z-stacks and time-lapses in real-time.
Deep learning models trained on millions of cells for accurate segmentation. Fine-tune on your own data for domain-specific results.
Automatic lineage reconstruction that handles cell divisions, merges, and complex behaviors across thousands of timepoints.
Drag-and-drop nodes to create complex analysis pipelines. Save and share workflows across your team with one click.
Extract morphology, intensity, and tracking metrics. Export to CSV or visualize with built-in interactive charts.
GPU instances scale on-demand to match your workload. Process datasets far beyond your local hardware capacity.
Deep learning denoising and registration algorithms clean up noisy images and align multi-channel stacks automatically.
Share workspaces with your team. See changes instantly with live synchronization. Comment, annotate, and analyze together.
Import TIFF, OME-TIFF, ND2, CZI, LIF, and more. Automatic format conversion enables efficient streaming to your browser.
CellWorkflow is developed by the imAIgene-lab at Instituto de Investigaciones Biomédicas (IIB), Universidad Autónoma de Madrid.
Our lab leverages artificial intelligence and multi-omics analysis of dynamic 3D imaging to investigate tumor progression and treatment resistance. We bridge computational and experimental science to advance biomedical research.
Visit Lab Website →CellWorkflow builds on our proven track record in microscopy image analysis:
Dr. Maria Alieva leads the imAIgene-lab with expertise in AI-driven microscopy analysis for cancer research. Her work focuses on understanding T cell immunotherapy mechanisms and tumor microenvironment characterization.
IIB / Universidad Autónoma de Madrid
Planned capabilities and future research directions for CellWorkflow.
Integration of next-generation foundation models for microscopy, including SAM 3 and domain-specific models trained on large-scale microscopy datasets.
Privacy-preserving collaborative model training across institutions. Train better models without sharing sensitive data.
Integration with spatial transcriptomics platforms for combined morphological and molecular analysis.
Full compliance with FAIR (Findable, Accessible, Interoperable, Reusable) data principles for reproducible research.
Start analyzing your microscopy data today. We're here to help you get the most out of CellWorkflow—reach out if you have questions or want to explore a collaboration.