The launch marks a fundamental shift in spatial biology — from 2D thin-section approaches that analyze partial cell layers to true 3D analysis that preserves the native organization of cells, ...

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

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

Spatial transcriptomics is a technique that provides information about gene expression patterns within intact tissues. This technology employs various methodologies, including in situ sequencing (ISS) ...

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 ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

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.

Neoadjuvant immunotherapy in combination with chemotherapy in resectable locally advanced head and neck squamous cell carcinoma: A randomized, open label, phase II clinical trial. This is an ASCO ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the next five years. Key factors fueling this growth include the rising ...

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 ...