Mapping fast tissue dynamics with long camera exposures via intensity modulation

光谱密度 斑点图案 调制(音乐) 光学 频域 物理 频率调制 强度(物理) 帧速率 流量(数学) 时域 测距 信号(编程语言) 多普勒效应 动力学(音乐) 散斑成像 时间分辨率 光谱成像 声学 光谱特征 散射 计算机科学 功率(物理) 血流 材料科学 低频 频道(广播) 样品(材料) 截止频率 谱密度估计 空间频率 噪音(视频) 散斑噪声 光散射 流量测量 相位调制
作者
Hengfa Lu,Qingwei Fang,Jewel A. Ashbrook,Victoria Nemchek,Michela Fracassi,Theresa A. Jones,Andrew K. Dunn
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:123 (17): e2524940123-e2524940123
标识
DOI:10.1073/pnas.2524940123
摘要

Measuring fast dynamic processes with dynamic light scattering over wide fields of view is critical for applications ranging from blood flow imaging to characterizing complex fluids, yet is often limited by the need for expensive, high frame rate cameras. Here, we introduce sinusoidal intensity modulation speckle imaging (SIMSI), a technique that overcomes this hardware limitation by encoding information about fast dynamics into images captured with long camera exposures. Within each exposure, we sinusoidally modulate the illumination intensity, yielding frequency selective speckle variance measurements that sample the power spectral density (PSD) of intensity fluctuations. By sweeping the modulation frequency across exposures, SIMSI maps the PSD while preserving high signal-to-noise long exposures. We fit the measured spectra with a flexible model and report a spectral cutoff frequency [Formula: see text] as a flow index. In controlled flow microfluidic phantoms, SIMSI PSD estimates agree with the reference PSD measurements from a coaligned high-speed detector, and the derived [Formula: see text] varies linearly with the imposed flow velocity ([Formula: see text]). In vivo in the mouse cortex, the SIMSI derived [Formula: see text] maps distinguish vascular compartments with distinct spectral signatures. Finally, SIMSI tracks the spatiotemporal evolution of cortical blood flow changes for ten days following ischemic stroke. SIMSI provides a robust and accessible method for wide field, frequency domain characterization of fast dynamics using standard cameras. This advance enables a richer characterization of complex systems and has wide ranging applications in biomedicine, engineering, and physics.
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