A new spatial transcriptomics method maps gene expression in archived FFPE tissue at single-cell resolution, expanding ...

Spatial transcriptomics now spans two fundamentally different measurement strategies, and the choice between them shapes every downstream result a lab will generate. Sequencing-based platforms capture ...

The ATLAS method imputes spatial single-cell maps of mouse brains and uncovers cell-type and regional composition differences ...

A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and ...

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 ...

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

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 ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

Spatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to generate detailed maps of where genes are expressed in tissue. But most methods ...

Spatial transcriptomics and single-cell RNA sequencing (scRNA-seq) are often framed as rivals, but they answer different questions about the same tissue. Single-cell RNA-seq resolves cell identity at ...