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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Updated: Mar 24, 2026

In vivo Imaging of Biological Tissues with Combined Two-Photon Fluorescence and Stimulated Raman Scattering Microscopy
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High-Speed, Pixel-Super-resolved Compressive Second Near-Infrared Fluorescence In Vivo Imaging.

Zhen Pan1, Dalong Qi1, Hongxin Zhang2

  • 1State Key Laboratory of Precision Spectroscopy, School of Physics, East China Normal University, Shanghai 200062, China.

Research (Washington, D.C.)
|March 23, 2026
PubMed
Summary
This summary is machine-generated.

We developed a new high-speed imaging technique called NIR-II compressive fluorescence imaging (COFI). This method captures fast biological processes in vivo with improved signal and reduced motion artifacts, enabling clearer deep-tissue visualization.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Fluorescence Imaging

Background:

  • Conventional second near-infrared (NIR-II) fluorescence imaging struggles with simultaneous high signal-to-noise ratio and motion-artifact-free capture of rapid physiological dynamics.
  • Limitations in current imaging techniques hinder the real-time visualization of fast biological processes in deep tissues.

Purpose of the Study:

  • To introduce NIR-II compressive fluorescence imaging (COFI), a novel technique for high-speed, pixel-super-resolved imaging.
  • To overcome the limitations of conventional NIR-II imaging in capturing rapid physiological dynamics with high fidelity.

Main Methods:

  • Developed NIR-II COFI using a high-speed spatial light modulator and a low-frame-rate NIR-II camera to encode dynamics into single frames.
  • Employed a hybrid reconstruction algorithm combining a denoising convolutional neural network and a super-resolution generative adversarial network for video restoration.
  • Utilized bright 1,525-nm nanoparticle probes for imaging.

Main Results:

  • Achieved a high-speed imaging rate of 3.3 kiloframes per second with a space-bandwidth-time product of 4.22 × 108 pixels/s.
  • Demonstrated a 36% improvement in signal-to-noise ratio compared to conventional short-exposure imaging.
  • Successfully visualized multicomponent phosphorescence lifetime, high-speed motion tracking, and real-time murine intestinal peristalsis in vivo.

Conclusions:

  • NIR-II COFI enables high-fidelity, high-speed in vivo imaging of fast biological processes without compromising intrinsic sensitivity.
  • The technique facilitates deep-tissue imaging and overcomes motion artifacts, offering significant advancements over conventional methods.
  • This work paves the way for enhanced understanding of dynamic biological processes in real-time.