The human lymphatic system is notoriously difficult to map due to its size and variability among individuals. Spatial ...

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

This illustration summarizes how integrated spatial transcriptomics, single-cell transcriptomics, single-cell epigenomics, and spatial epigenomics enable multi-dimensional profiling of the tumor ...

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

Rare tumors, although individually uncommon, collectively account for a considerable proportion of cancer diagnoses and pose unique clinical and biological ...

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

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 ...

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.

Stellaromics today launched Pyxa™, the first commercially available platform to deliver multiplexed 3D spatial transcriptomics in intact tissue up to 100 micrometers thick. The launch marks a ...

Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...