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 ...

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 ...

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

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.

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

“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 ...

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 ...