At AGBT, customers will present data demonstrating unparalleled scale and sensitivity in research spanning pulmonary fibrosis, prostate cancer, and 3D reconstructions of mouse brains Company expands ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...

Spatial biology first entered the omics scene about a decade ago. Since then, the technology has generated significant buzz both inside and outside of the lab—beyond its contributions to science. The ...

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.

We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...

Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...

SAMBAI, a team funded through the Cancer Grand Challenges initiative, reported that Akoya Biosciences’ PhenoCycler ®-Fusion system will be the foundational spatial proteomics technology used to ...