We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...

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.

SAN DIEGO, Feb. 05, 2024 (GLOBE NEWSWIRE) -- Singular Genomics Systems, Inc. (OMIC), a company leveraging novel next-generation sequencing (NGS) and spatial multiomics technologies to empower ...

Spatial ribonucleic acid (RNA) transcriptomics measures gene expression while preserving each molecule’s coordinates in intact tissue, tying transcripts to histology and local microenvironments.

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 ...

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 ...

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, ...

Immune low-response states significantly impact the effectiveness of immunotherapy in cancer treatment. These states ...

This presentation will describe both common and specialized multiplex methods for RNA in situ hybridization (ISH) and immunohistochemical labeling of proteins (IHC). We initially used neuronal cell ...