Physics-paired stimulated Raman scattering microscopy enables label-free phenotyping of lipid droplets 3D motility in live cells

High-speed volumetric stimulated Raman scattering (SRS) microscopy offers unique capabilities for label-free chemical imaging in living systems, yet its performance is fundamentally constrained by the trade-off between imaging speed and signal-to-noise ratio (SNR). At the short pixel dwell times required for three-dimensional dynamic imaging, photon-limited detection leads to severe noise that cannot be effectively mitigated by existing denoising approaches, owing to the lack of ground truth data and temporally redundant measurements in live-cell conditions. Here we present PHYSIQ, a physics-paired in-phase and quadrature SRS imaging framework that fundamentally redefines data acquisition for noise-limited optical microscopy. By exploiting the intrinsic quadrature nature of heterodyne detection, PHYSIQ-SRS simultaneously acquires two spatially co-registered and temporally near-synchronous SRS image channels with statistically independent shot noise. This physics-paired measurement enables fully self-supervised Noise2Noise restoration without requiring ground truth or temporal redundancy. The implementation integrates dual-channel lock-in detection with defocus-corrected spatial co-registration and controlled temporal offset, establishing a robust and generalizable strategy for generating unbiased training pairs directly from physical measurements. This innovative approach achieves an SNR enhancement of ~12.5 dB while preserving quantitative Raman contrast, effectively overcoming the conventional speed-sensitivity limitation in volumetric SRS microscopy. The improved performance enables video-rate volumetric imaging and label-free 3D tracking of lipid droplets (LDs) in living cells. Using this capability, we uncover that LD dynamics are governed by discrete motility states with condition-dependent transitions, including spatial redistribution under nutrient perturbation, selective suppression of long-range transport upon glycolytic inhibition, and phase-dependent reprogramming during mitosis. PHYSIQ-SRS establishes a new paradigm of physics-enabled self-supervised imaging, providing a general solution to shot-noise-limited detection in laser-scanning microscopy. This advance opens new opportunities for high-speed, label-free volumetric imaging and quantitative investigation of live-cell biology, metabolic phenotyping, developmental imaging, and biomedical discovery.

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Publication Details

Journal
Light Science & Applications
Published
2026-07-24
DOI
https://doi.org/10.1038/s41377-026-02435-x
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Physics-paired stimulated Raman scattering microscopy enables label-free phenotyping of lipid droplets 3D motility in live cells

R Li, Zhiwei Huang, Chang Liu, He Bp et al.
Light Science & Applications
Spectroscopy Techniques in Biomedical and Chemical Research
article

Physics-paired stimulated Raman scattering microscopy enables label-free phenotyping of lipid droplets 3D motility in live cells

R Li, Zhiwei Huang, Chang Liu, He Bp, Shulang Lin, Le Xin
article en

Abstract

High-speed volumetric stimulated Raman scattering (SRS) microscopy offers unique capabilities for label-free chemical imaging in living systems, yet its performance is fundamentally constrained by the trade-off between imaging speed and signal-to-noise ratio (SNR). At the short pixel dwell times required for three-dimensional dynamic imaging, photon-limited detection leads to severe noise that cannot be effectively mitigated by existing denoising approaches, owing to the lack of ground truth data and temporally redundant measurements in live-cell conditions. Here we present PHYSIQ, a physics-paired in-phase and quadrature SRS imaging framework that fundamentally redefines data acquisition for noise-limited optical microscopy. By exploiting the intrinsic quadrature nature of heterodyne detection, PHYSIQ-SRS simultaneously acquires two spatially co-registered and temporally near-synchronous SRS image channels with statistically independent shot noise. This physics-paired measurement enables fully self-supervised Noise2Noise restoration without requiring ground truth or temporal redundancy. The implementation integrates dual-channel lock-in detection with defocus-corrected spatial co-registration and controlled temporal offset, establishing a robust and generalizable strategy for generating unbiased training pairs directly from physical measurements. This innovative approach achieves an SNR enhancement of ~12.5 dB while preserving quantitative Raman contrast, effectively overcoming the conventional speed-sensitivity limitation in volumetric SRS microscopy. The improved performance enables video-rate volumetric imaging and label-free 3D tracking of lipid droplets (LDs) in living cells. Using this capability, we uncover that LD dynamics are governed by discrete motility states with condition-dependent transitions, including spatial redistribution under nutrient perturbation, selective suppression of long-range transport upon glycolytic inhibition, and phase-dependent reprogramming during mitosis. PHYSIQ-SRS establishes a new paradigm of physics-enabled self-supervised imaging, providing a general solution to shot-noise-limited detection in laser-scanning microscopy. This advance opens new opportunities for high-speed, label-free volumetric imaging and quantitative investigation of live-cell biology, metabolic phenotyping, developmental imaging, and biomedical discovery.

Light Science & ApplicationsVol. 15(1)
National University of Singapore (SG), Guangzhou Mechanical Engineering Research Institute (China) (CN), Suzhou Research Institute (CN), Singapore Bioimaging Consortium (SG), China National Electric Apparatus Research Institute (China) (CN)
Ministry of Education, India, Medical Research Council, National Medical Research Council, Japan Society for the Promotion of Science
Openalex Percentile: Top 10%
Spectroscopy Techniques in Biomedical and Chemical Research
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