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 ...

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

Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...

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.

IRB Barcelona has launched Spain’s first fully integrated spatial omics platform, allowing researchers to capture cells' ...

“If you have a machine—for example, a bike—all the different components of the bike would need to be fit in the right places for them to function,” said Lambda Moses, a computational biologist at ...

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

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 ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

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, ...