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Mapping fast tissue dynamics with long camera exposures via intensity modulation.

Hengfa Lu1, Qingwei Fang1, Jewel A Ashbrook1,2

  • 1Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712.

Proceedings of the National Academy of Sciences of the United States of America
|April 23, 2026
PubMed
Summary
This summary is machine-generated.

Sinusoidal Intensity Modulation Speckle Imaging (SIMSI) uses standard cameras to measure fast dynamics, like blood flow, by encoding information into long exposures. This technique provides a robust and accessible method for wide-field dynamic process characterization.

Keywords:
cerebral blood flow imagingdynamic light scatteringlaser speckle contrast imaginglight intensity modulationpower spectral density

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Area of Science:

  • Biomedical optics
  • Fluid dynamics
  • Image processing

Background:

  • Dynamic light scattering is crucial for imaging blood flow and complex fluids.
  • High frame rate cameras are often required, limiting accessibility and increasing costs.

Purpose of the Study:

  • Introduce Sinusoidal Intensity Modulation Speckle Imaging (SIMSI) to overcome hardware limitations in dynamic process measurement.
  • Enable wide-field, frequency-domain characterization of fast dynamics using standard cameras.

Main Methods:

  • SIMSI encodes fast dynamics into images captured with long camera exposures by sinusoidally modulating illumination intensity.
  • Frequency-selective speckle variance measurements sample the power spectral density (PSD) of intensity fluctuations.
  • Sweeping modulation frequency maps the PSD, and a spectral cutoff frequency is used as a flow index.

Main Results:

  • SIMSI measurements in microfluidic phantoms show agreement with high-speed detectors, with the flow index correlating linearly with velocity.
  • In vivo mouse cortex imaging reveals distinct spectral signatures for different vascular compartments.
  • SIMSI successfully tracked spatiotemporal changes in cortical blood flow post-ischemic stroke.

Conclusions:

  • SIMSI offers a robust, accessible, wide-field method for characterizing fast dynamics using standard cameras.
  • This technique enhances the characterization of complex systems in biomedicine, engineering, and physics.
  • SIMSI provides a valuable tool for studying dynamic processes where high-speed imaging is otherwise prohibitive.