ArticleAnalytical chemistry2022
Enhancing the Throughput of FT Mass Spectrometry Imaging Using Joint Compressed Sensing and Subspace Modeling.
Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Multimodal landscape of atherosclerotic plaques: A spatial omics approach with mass spectrometry imaging.Analytica chimica acta · 2025Review
- Metabolomic-based promising technique for fruit-based natural products analysis.Food chemistry: X · 2025Review
- Integrating Model-Based Reconstruction and Deep Learning for Accelerating Mass Spectrometry Imaging.Analytical chemistry · 2025Article
- Mass Spectrometry Imaging.Analytical chemistry · 2025Review
- A sulfatide-centered ultra-high-resolution magnetic resonance MALDI imaging benchmark dataset for MS1-based lipid annotation tools.GigaScience · 2025Article
- Recent Applications of Artificial Intelligence and Related Technical Challenges in MALDI MS and MALDI-MSI: A Mini Review.Mass spectrometry (Tokyo, Japan) · 2025Review
- Super Resolved Single-Cell Spatial Metabolomics from Multimodal Mass Spectrometry Imaging guided by Imaging Mass Cytometry.bioRxiv : the preprint server for biology · 2024Article
- Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry.Nature methods · 2024Article
- Integrative Multiscale Biochemical Mapping of the Brain via Deep-Learning-Enhanced High-Throughput Mass Spectrometry.bioRxiv : the preprint server for biology · 2023Article
- High-Throughput Mass Spectrometry Imaging of Biological Systems: Current Approaches and Future Directions.Trends in analytical chemistry : TRAC · 2023Article
- Mass Spectrometry Imaging for Single-Cell or Subcellular Lipidomics: A Review of Recent Advancements and Future Development.Molecules (Basel, Switzerland) · 2023Review
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- High-Throughput Mass Spectrometry Imaging with Dynamic Sparse Sampling.ACS measurement science au · 2022Article
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5 authors.
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Abstract
Mass spectrometry imaging (MSI) allows for untargeted mapping of the chemical composition of tissues with attomole detection limits. MSI using Fourier transform (FT)-based mass spectrometers, such as FT-ion cyclotron resonance (FT-ICR), grants the ability to examine the chemical space with unmatched mass resolution and mass accuracy. However, direct imaging of large tissue samples using FT-ICR is slow. In this work, we present an approach that combines the subspace modeling of ICR temporal signals with compressed sensing to accelerate high-resolution FT-ICR MSI. A joint subspace and spatial sparsity constrained model computationally reconstructs high-resolution MSI data from the sparsely sampled transients with reduced duration, allowing a significant reduction in imaging time. Simulation studies and experimental implementation of the proposed method in investigation of brain tissues demonstrate a 10-fold enhancement in throughput of FT-ICR MSI, without the need for instrumental or hardware modifications.
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