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.
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3D spatial mapping of tumor cell 'neighborhoods' reveals potential targets for personalized cancer therapy
Researchers in Nikolaus Rajewsky's lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor's cellular neighborhoods in 3D and identify potential targets ...
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 ...
Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...
Spatial biology first entered the omics scene about a decade ago. Since then, the technology has generated significant buzz both inside and outside of the lab—beyond its contributions to science. The ...
Scientists have identified a new CAF subset in HNSCC using tissue cytometry and spatial transcriptomics. In two-thirds of cases, head and neck squamous cell carcinomas (HNSCC) require treatment with ...
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 ...
(MEMPHIS, Tenn. – December 3, 2025) 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 ...
Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...
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