A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Biological macromolecules assemble into sophisticated spatial architectures to orchestrate fundamental cellular processes. Understanding this architecture is therefore essential for deciphering the mechanisms of life. Driven by advances in high-throughput sequencing and single-molecule imaging, spatial omics technologies have emerged as powerful tools that are revolutionizing biomedical research. This review systematically evaluates current spatial omics methodologies by comparing their key performance parameters. We critically assess their optimal applications and discuss strategies to overcome prevailing challenges in spatial resolution, capture efficiency, robustness, data analysis, and clinical translation. Furthermore, we highlight how these technologies provide unique insights into tissue heterogeneity, cell-cell interactions, developmental dynamics, microenvironmental composition, and neuroanatomy. Our analysis offers guidance for selecting appropriate spatial omics approaches and outlines promising directions for future technological innovation and expanded biomedical applications.

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Publication Details

Journal
Advanced Science
Published
2026-02-23
DOI
https://doi.org/10.1002/advs.202520806
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Da Lin, Weize Xu, Leqiang Sun, Jinxia Dai et al.
Advanced Science
Single-cell and spatial transcriptomics
article

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Da Lin, Weize Xu, Leqiang Sun, Jinxia Dai, Gang Cao, Xiaofeng Wu
article en

Abstract

Biological macromolecules assemble into sophisticated spatial architectures to orchestrate fundamental cellular processes. Understanding this architecture is therefore essential for deciphering the mechanisms of life. Driven by advances in high-throughput sequencing and single-molecule imaging, spatial omics technologies have emerged as powerful tools that are revolutionizing biomedical research. This review systematically evaluates current spatial omics methodologies by comparing their key performance parameters. We critically assess their optimal applications and discuss strategies to overcome prevailing challenges in spatial resolution, capture efficiency, robustness, data analysis, and clinical translation. Furthermore, we highlight how these technologies provide unique insights into tissue heterogeneity, cell-cell interactions, developmental dynamics, microenvironmental composition, and neuroanatomy. Our analysis offers guidance for selecting appropriate spatial omics approaches and outlines promising directions for future technological innovation and expanded biomedical applications.

Advanced Science
Huazhong Agricultural University (CN), Guangzhou Institutes of Biomedicine and Health (CN), Shenzhen University Health Science Center (CN), Shenzhen Institutes of Advanced Technology (CN), Stanford University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Single-cell and spatial transcriptomics
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