While such advances bring with them a breadth of knowledge, the immense complexity of the datasets makes it challenging for scientists to analyze them using current computational methods. Now, ...

Salk researchers used spatial transcriptomics to map where different cell types reside in the mouse brain. Shown are excitatory neurons (left, blue), inhibitory neurons (middle, red), and non-neuronal ...

In a powerful fusion of AI and neuroscience, researchers at the University of California, San Francisco (UCSF) and Allen Institute designed an AI model that has created one of the most detailed maps ...

In this session, Dr. Ray will show how single-cell spatial transcriptomics with MERFISH 2.0™ chemistry enables detailed mapping of the brain and deeper insight into the cellular and molecular changes ...

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 ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

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 ...

An AI-produced rendering shows a map of mouse brain regions, overlaid with network motifs. (UCSF Illustration) Scientists say an artificial intelligence program that they compare to ChatGPT has helped ...

Spatial biology is a rapidly advancing discipline that examines biological molecules (such as DNA, RNA, and proteins) within their native locations in tissues. This approach offers critical insight ...