Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Researchers have demonstrated the feasibility of a morphological-based approach to interpreting spatial transcriptomic (ST) data, helping to improve understanding of the lesions that occur in chronic ...

A study in The American Journal of Pathology introduces a method to combine traditional histopathology with spatial transcriptomic data, paving the way for the future of molecular microscopy and ...

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.