The spatial information allows scientists to investigate neighborhoods and distances of specific cell populations to each other to decode the complexity of tissue microenvironments in normal and disease states. Especially in immune oncology the neighborhood composition of tumor and immune cells is important to fully understand cell interactions to develop novel precision diagnostics.

The Phenoplex workflow now includes hypothesis-driven spatial analysis options for cellular proximity counts of neighboring cells and nearest neighbor distance calculations. Using our intuitive workflow, users can define the target cells and interrogate their neighbors within a defined radius.