Researchers at the John Innes Center and the Earlham Institute are pioneering powerful single-cell visualization techniques ...

As part of an investigation to boost agricultural yields and develop crops that are resilient to climate change, Berkeley Lab scientists have introduced RhizoNet, a computational tool that harnesses ...

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.

Many biological functions and systems are influenced by how gene expression is spatially distributed, from subcellular through to tissue, organ, or at embryonic level. Our understanding of these ...

Background The ecological study of root systems lags behind the understanding of the aboveground components of plant communities, mainly due to methodological challenges. As ecological root theory ...

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) ...