logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Scalable spatial transcriptomics through computational array reconstruction

delete2025-04-03
delete0
PRE
AI
C
Chenlei Hu
M
Mehdi Borji
G
Giovanni Marrero
V
Vipin Kumar
J
Jackson A. Weir
S
Sachin V. Kammula
E
Evan Z. Macosko
DOI：10.1038/s41587-025-02612-0delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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.
Keywords:
EXPRESSION

Journal

Nature Biotechnology cover
Nature Biotechnology
IF:
41.7
Papers:
1.2W
Citations:
10.1W

Organization

No organization information available