Researchers have developed stMCP, a Model Context Protocol server that lets scientists analyze spatial transcriptomics data ...

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...

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 ...

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 ...

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 biology is rapidly becoming an essential tool for understanding complex biological systems, but realizing its full potential requires more than access to technology. Researchers need ...

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 ...

LatchBio provides white-labeled data infrastructure, analysis tools and delivery portals for kit, instrument, and solution providers. Today, LatchBio released a 25 million cell spatial atlas spanning ...

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 ...