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Related Experiment Video

Updated: May 29, 2025

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

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Accurate tiling of spatial single-cell data with Tessera.

Daniel J Stein, Miles Tran, Ilya Korsunsky

    Biorxiv : the Preprint Server for Biology
    |February 3, 2025
    PubMed
    Summary

    Tessera is a new algorithm for tissue segmentation that precisely defines cellular compartments. It uses novel methods to accurately map tissue structures in spatial transcriptomics and proteomics data.

    Area of Science:

    • Computational biology
    • Bioinformatics
    • Spatial transcriptomics

    Background:

    • Single-cell spatial transcriptomics generates data on cellular organization in tissues.
    • Automated tissue segmentation is crucial for defining functional multicellular units.
    • Current methods often blur boundaries between tissue compartments due to spatial smoothing.

    Purpose of the Study:

    • To develop a novel algorithm, Tessera, for accurate automated tissue segmentation.
    • To overcome limitations of existing methods that blur compartment boundaries.
    • To create a general-purpose tool for analyzing spatial transcriptomics and proteomics data.

    Main Methods:

    • Tessera divides tissues into small multicellular tiles.
    • It incorporates edge-preserving smoothing, topological data analysis, and morphology-aware clustering.

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  • The algorithm's edges are designed to track natural tissue boundaries.

    • Main Results:

    • Tessera accurately identifies known anatomical structures in healthy mouse brain and human lymph nodes.
    • It reveals novel disease-associated niches in human brain and lung cancer.
    • The algorithm produces spatially coherent structures with accurate boundaries.

    Conclusions:

    • Tessera offers a novel and effective approach to tissue segmentation.
    • It provides accurate delineation of tissue compartments across various spatial omics technologies.
    • This tool enhances the analysis of cellular organization in both healthy and diseased tissues.