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 ...

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.

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

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 ...

Illumina, Inc. (NASDAQ: ILMN) today announced new customer breakthroughs in oncology powered by Illumina's spatial transcriptomics, 5-base sequencing, and proteomics technologies. The ability to ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...

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 ...

Advances in 3D spatial multiomics are changing how researchers study tissue architecture. We spoke with Stellaromics' CEO, Dr. Todd Dickinson, to learn how this approach preserves structure and ...