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<p>Real-time dynamic imaging of microbubbles is crucial for understanding their microscale biophysical interactions and advancing ultrasound therapy. Despite progress in time-resolved optical imaging, existing techniques still face trade-offs between acquisition speed, spatial resolution, affordability, and system complexity. Here, we introduce compressed optical-streaking dark-field ultrahigh-speed microscopy (COSDUM), a compact imaging platform that synergistically combines compressed sensing, streak imaging, dark-field microscopy, and deep learning. COSDUM compressively records megahertz acoustic microbubble dynamics over a wide field of view in a snapshot and reconstructs spatially resolved dynamics using a convolutional neural network-based algorithm. Using COSDUM, we captured stable cavitation, nonlinear oscillations, post-excitation free oscillations, and inertial collapse across microbubbles whose radii range from 0.5 to 2.1&#xa0;μm. Applying COSDUM to microbubble-cell interaction in whole blood, we observed, for the first time, interplay between vibrating microbubbles and blood cells, including microbubble-driven platelet dynamics and highly asymmetric microbubble deformation and conformation around an adjacent red blood cell.</p>

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Computational optical streak microscopy of megahertz acoustic microbubble dynamics

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月1日

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  • Miguel Marquez,
  • Yingming Lai,
  • Miao Liu,
  • Elahe Memari,
  • Brandon Helfield,
  • Jinyang Liang

摘要

Real-time dynamic imaging of microbubbles is crucial for understanding their microscale biophysical interactions and advancing ultrasound therapy. Despite progress in time-resolved optical imaging, existing techniques still face trade-offs between acquisition speed, spatial resolution, affordability, and system complexity. Here, we introduce compressed optical-streaking dark-field ultrahigh-speed microscopy (COSDUM), a compact imaging platform that synergistically combines compressed sensing, streak imaging, dark-field microscopy, and deep learning. COSDUM compressively records megahertz acoustic microbubble dynamics over a wide field of view in a snapshot and reconstructs spatially resolved dynamics using a convolutional neural network-based algorithm. Using COSDUM, we captured stable cavitation, nonlinear oscillations, post-excitation free oscillations, and inertial collapse across microbubbles whose radii range from 0.5 to 2.1 μm. Applying COSDUM to microbubble-cell interaction in whole blood, we observed, for the first time, interplay between vibrating microbubbles and blood cells, including microbubble-driven platelet dynamics and highly asymmetric microbubble deformation and conformation around an adjacent red blood cell.