A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...
Prioritize recurring consumables, AI analytics, FFPE-compatible automation and end-to-end workflows; target oncology, research institutes and CRO partnerships.Dublin, Oct. 08, 2026 (GLOBE NEWSWIRE) -- ...
The model, named stFormer, uses cross-attention to incorporate spatial ligand gene signals. The researchers derived a biased cross-attention formula to unify ST platforms across resolution and gene ...
10don MSN
New algorithm makes maps of gene activity easier to compare while preserving cell-level detail
Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of ...
Chang leads assay and applications development at Takara Bio, driving the commercialization of novel spatial genomics products. She has extensive experience in single-cell multiomics technologies and ...
By combining spatial and single-cell transcriptomics, researchers have mapped previously unknown immunosuppressive niches in ...
Since its inception, spatial biology has proven a revolutionary frontier in life science research. However, there is still plenty of room for growth in the systems we use to conduct spatial biology ...
Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...
Researchers at the University of Liège have used imaging-based spatial single-cell transcriptomics to map the cellular ...
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