ReviewAnalytical and bioanalytical chemistry2026
Single-cell mass spectrometry imaging: platform advances for multimodal spatial omics.
Review in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
6 authors.
Funding
Abstract
Spatial omics has transformed biomedical research by uncovering the molecular characterization of biological systems while preserving spatial context. Among these approaches, mass spectrometry imaging (MSI) provides a label-free, in situ visualization of diverse molecular classes, including metabolites, lipids, proteins, and glycans. Recent advances in instrumentation, sample preparation, and data acquisition have pushed MSI into the field of single-cell analysis, providing unprecedented access to cellular heterogeneity and molecular states across biological contexts. Here, we review current single-cell MSI platforms and highlight key innovations that have improved spatial resolution, sensitivity, and throughput. Presented examples from published workflows highlight the variability in strategies for cell isolation, capture, and data acquisition. The three main ionization techniques of desorption electrospray ionization (DESI), secondary ion mass spectrometry (SIMS), and matrix-assisted laser desorption ionization (MALDI) are highlighted for their capabilities to generate robust single-cell multi-omics profiling. We outline future directions for the field and the potential of single-cell MSI to impact translational spatial omic research and precision medicine.
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42390552What Socratic 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 Socratic graph.