ArticleLight, science & applications2018
Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion.
Article in Light, science & applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- 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
- Article
- Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine.Chemical & biomedical imaging · 2025Review
- Computational field-resolved coherent chemical imaging.Nature communications · 2025Article
- Machine learning empowered coherent Raman imaging and analysis for biomedical applications.Communications engineering · 2025Review
- Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems.Nature communications · 2024Article
- Recent Advances in Enhancement of Raman Scattering Intensity for Biological Applications.Chemical & biomedical imaging · 2023Review
- Video-rate mid-infrared photothermal imaging by single-pulse photothermal detection per pixel.Science advances · 2023Article
- Spatial sterol metabolism unveiled by stimulated Raman imaging.Frontiers in chemistry · 2023Article
- Multiwindow SRS Imaging Using a Rapid Widely Tunable Fiber Laser.Analytical chemistry · 2021Article
- Review
- Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning.Nature communications · 2021Article
- Volumetric Lissajous confocal microscopy with tunable spatiotemporal resolution.Biomedical optics express · 2020Article
- High-Speed Chemical Imaging by Dense-Net Learning of Femtosecond Stimulated Raman Scattering.The journal of physical chemistry letters · 2020Article
- Volumetric chemical imaging in vivo by a remote-focusing stimulated Raman scattering microscope.Optics express · 2020Article
- Ultra-low timing jitter, Ti:Al2O3 synchronization for stimulated Raman scattering and pump-probe microscopy.Journal of biomedical optics · 2020Article
- Imaging Chemical Kinetics of Radical Polymerization with an Ultrafast Coherent Raman Microscope.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Spatial light-modulated stimulated Raman scattering (SLM-SRS) microscopy for rapid multiplexed vibrational imaging.Theranostics · 2020Article
- Design rules for dense and rapid Lissajous scanning.Microsystems & nanoengineering · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Spectroscopic stimulated Raman scattering (SRS) imaging generates chemical maps of intrinsic molecules, with no need for prior knowledge. Despite great advances in instrumentation, the acquisition speed for a spectroscopic SRS image stack is fundamentally bounded by the pixel integration time. In this work, we report three-dimensional sparsely sampled spectroscopic SRS imaging that measures ~20% of pixels throughout the stack. In conjunction with related work in low-rank matrix completion (e.g., the Netflix Prize), we develop a regularized non-negative matrix factorization algorithm to decompose the sub-sampled image stack into spectral signatures and concentration maps. This design enables an acquisition speed of 0.8 s per image stack, with 50 frames in the spectral domain and 40,000 pixels in the spatial domain, which is faster than the conventional raster laser-scanning scheme by one order of magnitude. Such speed allows real-time metabolic imaging of living fungi suspended in a growth medium while effectively maintaining the spatial and spectral resolutions. This work is expected to promote broad application of matrix completion in spectroscopic laser-scanning imaging.
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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.