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 ...

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 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 ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

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 ...

Enhancing a low-cost, minimally invasive screening test for dihydropyrimidine dehydrogenase mutations linked to 5-fluorouracil sensitivity by integrating computational mutation predictions. This is an ...

Nova-ST, a new spatial transcriptomics technique, has been introduced by researchers based at Vlaams Instituut voor Biotechnologie (VIB), Katholieke Universiteit (KU) Leuven. According to the ...

The market is fueled by the technology’s ability to map biomolecules and cellular interactions within tissues, enabling ...

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...