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 ...

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

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 ...

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 ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

The market is fueled by the technology’s ability to map biomolecules and cellular interactions within tissues, enabling ...

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 launched external beta testing of a 3D spatial transcriptomics system that maps intact tumors in three dimensions and enabling single-cell resolution.

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...