Techniques for characterizing tissues and organs at single-cell resolution have recently overcome the challenges of spatial localization and measurement of multiple modalities, improving our ability ...

Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology. While deep learning increasingly plays a role, it is difficult to generalize due to variability ...