Three-dimensional spatial transcriptomics at isotropic resolution enabled by generative deep learning
Bohan Li, Feng Yuan Bao, Yuhang Sun, Tianyun Wang, Fengji Li, Hongjue Li, Qionghai Dai, Yue Deng
This paper introduces isoST, a deep learning framework that infers isotropic 3D gene expression from sparse 2D spatial transcriptomics data, enabling accurate 3D reconstruction of tissues and uncovering spatial gradients missed in 2D analyses.
bioRxiv · Aug 15, 2025 · PreprintBioinformatics