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 ...

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

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.

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 ...

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also ...

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 ...

(NASDAQ: ILMN) today announced the launch of the StrataMap Spatial Solution, offering an unmatched breadth of coverage and ...

Vizgen, Inc., a leader in spatial multiomics and developer of the MERSCOPE Ultra™ Platform, today announced it will debut a 3D Volumetric Tissue Mapping dataset in neurodegenerative brain tissue using ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...