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Computational generation of high-content digital organs at single-cell resolution

Nature Methods volume 23, pages 293–294 (2026)Cite this article

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Complex digital representations of organs were reconstructed by computationally generating virtual slices from sparsely sampled planar spatial transcriptomic data, exemplified by a 38-million-cell mouse brain atlas that bridges gaps between tissue sections and preserves the continuous three-dimensional (3D) molecular landscape at single-cell resolution.

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Fig. 1: Overview of SpatialZ.

References

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This is a summary of: Lin, S. et al. Bridging the dimensional gap from planar spatial transcriptomics to 3D cell atlases. Nat. Methods https://doi.org/10.1038/s41592-025-02969-9 (2025).

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Computational generation of high-content digital organs at single-cell resolution. Nat Methods 23, 293–294 (2026). https://doi.org/10.1038/s41592-025-02996-6

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