NanoString Technologies, a leader in spatial biology, offers an ecosystem of innovative discovery and translational research solutions, empowering our customers to map the universe of biology.

Uncovering gene expression patterns, spatial transcriptomics bridges molecular analysis and tissue morphology, advancing research in various biological fields.

This 2023 Spatial Genomics Summit will include information regarding NanoString’s worldwide products and services, not all of which are available in every country.

To meet the demands of cutting-edge biomedical research, NanoString have launched a spatial transcriptomics platform called the GeoMx® Digital Spatial Profiler (DSP), which is validated with ...

NanoString is an Established Leader and Valuable Innovator in Gene Expression Profiling and Spatial Transcriptomics for Scientific and Clinical Research in Healthcare Under the asset purchase ...

Imagine a census that ignores addresses. That’s single-cell transcriptomics. New spatial transcriptomics technologies, however, can capture the geodemographics behind cancer and infectious disease.

Information from single-cell RNA sequencing is more meaningful when it is integrated with information about spatial organization.

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 ...

Modern spatial transcriptomics techniques – in situ hybridization, in situ sequencing and in situ capturing From 2006 to 2019, fewer than 100 papers were published on spatial transcriptomics annually.

Spatial transcriptomics and spatial proteomics have been termed the "new frontier" in molecular biology due to the enormous promise of new discoveries and diagnostics.

Spatial transcriptomics (ST) emerges as a pivotal technique for cataloging gene expression across tissue sections while retaining crucial locational data. Traditional methodologies, encompassing ...

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