ArticleNature methods2025
Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Longitudinal live-cell chemical imaging using coherent Raman scattering microscopy.The Analyst · 2026Review
- Combined SERS and chemometric analyses of blood plasma and bone marrow towards pediatric leukemia biomarkers detection.Mikrochimica acta · 2026Article
- In situ deep-sea surface-enhanced Raman scattering sensor reveals cyanide as a key factor in cold seep nitrogen cycling.Science advances · 2026Article
- Physics-paired stimulated Raman scattering microscopy enables label-free phenotyping of lipid droplets 3D motility in live cells.Light, science & applications · 2026Article
- Real-time photoactivated SRS imaging enables spatiotemporally controlled nitroxyl release and therapeutic guidance in vivo.Nature communications · 2026Article
- PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026Article
- Illuminating aging with multimodal optical metabolic imaging.Science advances · 2026Review
- Stimulated Raman photothermal microscopy: theory and implementation.Advances in optics and photonics · 2026Article
- AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation.Chemical & biomedical imaging · 2026Review
- Label-free multimodal nonlinear microscopy enabled by an optical parametric generator.APL photonics · 2026Article
- FILM: mapping organellar metabolism by mid-infrared photothermal-modulated fluorescence.Nature methods · 2026Article
- FILM: Mapping organellar metabolism by mid-infrared photothermal modulated fluorescence.ArXiv · 2026Article
- High-Content SRS Imaging Unveils Altered Cholesterol Metabolism in Ovarian Cancers Under CAR-T Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- 4Pi stimulated Raman scattering for label-free super-resolution chemical imaging.Science advances · 2026Article
- Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine.Chemical & biomedical imaging · 2025Review
- Bond-Selective Imaging at the Frontier of Biomedicine.Chemical & biomedical imaging · 2025Article
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- Feeling the vibes: Vibrational spectroscopic imaging of biomolecular assemblies in their natural environment.Applied physics reviews · 2025Article
- Raman-based label-free microscopic analysis of the pancreas in living zebrafish larvae.FEBS open bio · 2025Article
- Deuterium-oxide-assisted stimulated Raman scattering microscopy: metabolic imaging for precision medicine.Biophotonics discovery · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Super-resolution imaging of cell metabolism is hindered by the incompatibility of small metabolites with fluorescent dyes and the limited resolution of imaging mass spectrometry. We present ultrasensitive reweighted visible stimulated Raman scattering (URV-SRS), a label-free vibrational imaging technique for multiplexed nanoscopy of intracellular metabolites. We developed a visible SRS microscope with extensive pulse chirping to improve the detection limit to ~4,000 molecules and introduced a self-supervised multi-agent denoiser to suppress non-independent noise in SRS by over 7.2 dB, resulting in a 50-fold sensitivity enhancement over near-infrared SRS. Leveraging the enhanced sensitivity, we employed Fourier reweighting to amplify sub-100-nm spatial frequencies that were previously overwhelmed by noise. Validated by Fourier ring correlation, we achieved a lateral resolution of 86 nm in cell imaging. We visualized the reprogramming of metabolic nanostructures associated with virus replication in host cells and subcellular fatty acid synthesis in engineered bacteria, demonstrating its capability towards nanoscopic spatial metabolomics.
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