Deep-learning framework advances tissue analysis in spatial transcriptomics

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when studying how cells interact and respond to changes in their environment, as well as the intricacies of pathologies like cancer.