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.

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

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 ...

Announcing a new article publication for BIO Integration journal. Alzheimer's disease (AD) is a neurodegenerative disorder ...

(MEMPHIS, Tenn. – June 17, 2025) Single-cell RNA sequencing provides scientists with important information about gene expression in health and disease. However, the technique is expensive and often ...

Advances in 3D spatial multiomics are changing how researchers study tissue architecture. We spoke with Stellaromics' CEO, Dr. Todd Dickinson, to learn how this approach preserves structure and ...