ImSpiRE: image feature-aided spatial resolution enhancement method  

作　　者：Yuwei Hua Yizhi Zhang Zhenming Guo Shan Bian Yong Zhang 

机构地区：[1]State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center,Institute for Regenerative Medicine,Department of Neurosurgery,Shanghai East Hospital,Shanghai Key Laboratory of Signaling and Disease Research,Frontier Science Center for Stem Cell Research,School of Life Sciences and Technology,Tongji University,Shanghai 200092,China

出　　处：《Science China(Life Sciences)》2025年第1期272-283,共12页中国科学(生命科学英文版)

基　　金：supported by the National Key Research and Development Program of China(2021YFA1302500);the National Natural Science Foundation of China(32030022,32325012,31970642);the Science and Technology Commission of Shanghai Municipality(23JS1401200).

摘　　要：The resolution of most spatially resolved transcriptomic technologies usually cannot attain the single-cell level,limiting their applications in biological discoveries.Here,we introduce ImSpiRE,an image feature-aided spatial resolution enhancement method for in situ capturing spatial transcriptome.Taking the information stored in histological images,ImSpiRE solves an optimal transport problem to redistribute the expression profiles of spots to construct new transcriptional profiles with enhanced resolution,together with extending the gene expression profiles into unmeasured regions.Applications to multiple datasets confirm that ImSpiRE can enhance spatial resolution to the subspot level while contributing to the discovery of tissue domains,signaling communication patterns,and spatiotemporal characterization.

关 键 词：spatial transcriptome histological images spatial resolution enhancement 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] Q811.4[自动化与计算机技术—计算机科学与技术]