The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...

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.

Effective anti-tumor immunity is not only defined by which immune cells are present in a tumor, but also by how they are organized in space. Across cancer ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Analysis methods enhance our understanding of spatial biology, providing deeper insights into cellular interactions and tissue architecture. In this webinar, we will explore the intricacies of ...

Spatial transcriptomics may have just achieved single-cell resolution. Researchers led by Evan Macosko, Fei Chen, and colleagues at the Broad Institute in Cambridge, Massachusetts, bound together ...

Not all defects are visible with the same microscope. Explore how resolution, contrast, and signal interpretation shape ...