Biotechnology is central to improving the quality and precision of cancer research. By offering a framework for automated, scalable, and reproducible insights, our open-source scientific tools ensure that discoveries are transparent and reproducible to accelerate scientific progress. Our resources not only form the basis of our work, but continuously evolve through our innovations in single-cell technology, computer vision, and artificial intelligence.
At a glance:
- SYLARAS: Experimental protocol and companion software tool for multi-organ immune response profiling in preclinical systems.
- CyLinter: Human-in-the-loop quality control software for removing artifactual cells in high-plex tissue imaging data.
- MORPHÆUS: Generative AI network for morphology-driven phenotyping of cells and tissue structures in high-plex tissue imaging data.
- SCALES: Software for the co-registration and correlative analysis of spatial proteomics and mass spectrometry imaging data.
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Interested in getting started with one of our open-source tools? Reach out here.
Want to contribute? Check out our jobs page for descriptions of ongoing research projects.