A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

The launch marks a fundamental shift in spatial biology — from 2D thin-section approaches that analyze partial cell layers to true 3D analysis that preserves the native organization of cells, ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

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 ...

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 ...

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.

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 ...

(MEMPHIS, Tenn. – December 3, 2025) 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 ...

The integration of single-cell and spatial transcriptomics with advanced metabolic profiling tools has revolutionized the ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...