ArticleNature biotechnology2026
Scalable spatial transcriptomics through computational array reconstruction.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells.Genome biology · 2025Pooled it
- Review
- Volumetric DNA microscopy for mapping spatial transcriptomes in three dimensions.Nature protocols · 2026Review
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Cross-linked volumetric DNA microscopy for dense molecular-network phenotyping in intact tissue.bioRxiv : the preprint server for biology · 2026Article
- A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Mesoscale molecular architecture of the human striatum across cell types and lifespan.bioRxiv : the preprint server for biology · 2026Article
- SAGE: Spatially Aware Gene Selection and Dual-View Embedding Fusion for Domain Identification in Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Scalable spatial transcriptomics through computational array reconstruction.Nature biotechnology · 2026Article
- Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction.Nature communications · 2025Article
- Cross-expression meta-analysis of 695 brain samples reveals coordinated gene expression across spatially adjacent cells.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Spatial transcriptomics enables gene expression mapping within tissues but is often limited by imaging constraints. We present an imaging-free approach that reconstructs spatial barcode locations using molecular diffusion and dimensionality reduction. Validated against ground truth imaging, our method achieves high fidelity and scales to centimeter-sized tissues. This approach enhances spatial transcriptomics' accessibility and throughput, enabling large-scale studies without specialized imaging equipment.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.