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

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.

Advancements to include CosMx® Whole Transcriptome Panel; enhanced technology engine to power CellScape™ for spatial proteomics; expansion to 1000-plex protein assay on GeoMx® DSP; and launch of ...

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 ...

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 ...

Since the launch of the Hong Kong laboratory in July 2025, Omics Empower has supported research teams with local single-cell sequencing and spatial transcriptomics services. Faster processing helps ...

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 ...

The Whole Transcriptome Panel for Bruker’s CosMx Spatial Molecular Imager (SMI) represents a breakthrough in spatial biology. With the ability to detect and quantify over 18,000 RNA transcripts at ...