Introducing Points2Regions, a versatile Python tool integrated into TissUUmaps and Napari for clustering spatial biomarkers in omics data. Its flexible and efficient approach allows for pattern discovery across scales, surpassing the limitations of traditional clustering methods. With demonstrated performance across various datasets, it identifies biologically important regions and cell types, enhancing spatial omics data exploration. Try it out with our provided datasets to experience its powerful capabilities firsthand.

Test Points2Regions on Human Heart data:
Human Heart tissue

Test Points2Regions on Mouse Brain data:
Mouse Brain tissue

Test Points2Regions on your own data!:
Load your own data