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Article

Accurate tiling of spatial single-cell data with Tessera

2025-01-22

Abstract excerpt

Single-cell spatial transcriptomics reveals how cells organize in healthy and diseased tissues. From these data, tissue segmentation analysis defines discrete compartments that organize cells into functional multicellular units. Existing methods for automated tissue segmentation rely on spatial smoothing to define spatially coherent regions but often blur the boundaries between adjacent tissue compartments. We des...

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Identifiers and source

Literature Corpus work
8bb83018-116f-51e9-a267-e303ddaf2b6f
DOI
10.1101/2025.01.17.633630
Open publication

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Accurate tiling of spatial single-cell data with TesseraDOI 10.1101/2025.01.17.633630
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