Spatial RNA localization regulates the spatiotemporal organization of RNAs and proteins. This is particularly important in neurons and is disrupted in some neurological disorders. Recent advances in ...
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 multi-omics techniques allow resolving the spatial molecular profiles at transcript, metabolite, protein or epi-genetic level 1,2. Among these techniques, spatial transcriptomes enables the ...
Advancements to include CosMx® Whole Transcriptome Panel; enhanced technology engine to power CellScape™ for spatial proteomics; expansion to 1000-plex protein assay on GeoMx® DSP; and launch of ...
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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 ...
The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...
Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...
ImSpiRE enhances spatial resolution in three steps: it first extracts image features from spots and patches based on histological images, then computes the relationships between spots and patches, and ...
Spatial omics is transforming how researchers understand tissue biology, revealing the complex interplay between cells in health and disease. While RNA expression studies provide important molecular ...
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