The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

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

ImSpiRE enhances spatial resolution in three steps: it first extracts image features from spots and patches based on histological images, then computes the relationships between spots and patches, and ...

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 ...

Researchers at FIMM have developed an effective computational platform that automatically identifies cell types from spatial transcriptomics data. The method holds great potential for understanding ...

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, ...

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 ...