ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- Spatial Omics Technologies in Glioblastoma Research: Principles, Applications, and Best Practices.Genes · 2026Review
- Insights into the maternal-fetal interface from spatial multi-omics.Frontiers in cell and developmental biology · 2026Review
- Roles and potential applications of non-coding RNAs in cancer treatment with immune checkpoint inhibitors and immunomodulatory therapies.Cancer drug resistance (Alhambra, Calif.) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
Indexed as
Identifiers
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.