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UniST: A Unified Computational Framework for 3D Spatial Transcriptomics Reconstruction

2026-03-16

Abstract excerpt

Spatial transcriptomics (ST) enables the measurement of gene expression in its native spatial context, yet most ST datasets are acquired as two-dimensional (2D) sections. Consequently, the underlying three-dimensional (3D) organization of tissues is only partially observed, and 3D ST data generated from serial sections are typically sparse and heterogeneous, with substantial tissue loss and missing measurements. T...

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Literature Corpus work
9b66915a-9a83-510e-9ec2-a4de719d1e4b
DOI
10.64898/2026.03.12.711362
Open publication

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