Abstract
The development of spatially resolved transcriptomics technologies has revolutionised research in recent years. By enabling the analysis of the state and position of cell types within a tissue section, these technologies have the potential to transform our understanding of pathological processes and translate this knowledge into improved treatments for patients. This review provides an overview of available technologies and discusses the potential challenges of integrating them into pathological research, with a particular focus on the computational analysis of such data.
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