Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper ...

Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...

“If you have a machine—for example, a bike—all the different components of the bike would need to be fit in the right places for them to function,” said Lambda Moses, a computational biologist at ...

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.