🎇 Scale interactive spatial omics in the browser to thousands of images | https://rakaia.io/

Spatial One

HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇

Official repository for Characterization of tumor heterogeneity through segmentation-free representation learning on multiplexed imaging data

k-NN-based mapping of cells across representations to transfer labels, embeddings, and expression values.

Interpretable Graph Neural Networks for Spatial Cell Biology. Learn complex, biologically meaningful cell-cell interaction functions with unprecedented interpretability.

Modeling the Tumor Microenvironment (TME) as a many-body gravitational system. A synthetic data engine that applies astrophysics principles (N-Body dynamics) to simulate immune-tumor topology and generate ground-truth spatial data.