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.

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 ...

Constructed image from spatial transcriptomics slides measuring gene expression in tissues. This shows the developing upper limb, including the developing hand and digits. Each spot represents a ...

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 ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

Complete Genomics will share details of various multi-omics and spatial transcriptomics applications based on its sequencing technology at the 2024 American Society of Human Genetics (ASHG) Meeting.

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 ...

“Illumina’s…presentations and product descriptions revealed a workflow that infringed on the ‘607, ‘138, ‘505, and ‘487 patents, 10x Genomics and Prognosys Biosciences argued.” On October 21, 10x ...