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.

The Spatial Genomics and Transcriptomics Market is an emerging and rapidly growing sector within the life sciences industry. This market focuses on technologies and methodologies that combine gene ...

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

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 ...

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 ...

Scientists at Northwestern University have developed the largest open-access resource of its kind to help researchers shave off months of early-stage drug development time by allowing them to better ...

A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial transcriptomics provides a unique perspective on the genes that cells express ...

Scientists at Northwestern University have developed the largest open-access resource of its kind to help researchers shave off months of early-stage drug development time by allowing them to better ...

Researchers from Japan developed an advanced approach to automatically map distinct genetic activity to tissue regions. Spatial transcriptomics techniques, which map gene activity in intact tissues, ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...