Ioussoufovitch Seva, Cohen David Jonathan Fulop, Milej Daniel, Diop Mamadou
Western University, Faculty of Engineering, School of Biomedical Engineering, Collaborative Training Program in Musculoskeletal Health Research, Bone & Joint Institute, 1151 Richmond St., London, N6A 5C1, Canada.
Western University, Schulich School of Medicine & Dentistry, Department of Medical Biophysics, 1151 Richmond St., London, N6A 5C1, Canada.
Biomed Opt Express. 2021 Sep 21;12(10):6442-6460. doi: 10.1364/BOE.433427. eCollection 2021 Oct 1.
Time-resolved (TR) spectroscopy is well-suited to address the challenges of quantifying light absorbers in highly scattering media such as living tissue; however, current TR spectrometers are either based on expensive array detectors or rely on wavelength scanning. Here, we introduce a TR spectrometer architecture based on compressed sensing (CS) and time-correlated single-photon counting. Using both CS and basis scanning, we demonstrate that-in homogeneous and two-layer tissue-mimicking phantoms made of Intralipid and Indocyanine Green-the CS method agrees with or outperforms uncompressed approaches. Further, we illustrate the superior depth sensitivity of TR spectroscopy and highlight the potential of the device to quantify absorption changes in deeper (>1 cm) tissue layers.
时间分辨（TR）光谱非常适合解决量化诸如活体组织等高散射介质中光吸收体的挑战；然而，当前的TR光谱仪要么基于昂贵的阵列探测器，要么依赖于波长扫描。在此，我们介绍一种基于压缩感知（CS）和时间相关单光子计数的TR光谱仪架构。通过同时使用CS和基扫描，我们证明，在由脂质体和吲哚菁绿制成的均匀和两层组织模拟体模中，CS方法与未压缩方法一致或更优。此外，我们展示了TR光谱卓越的深度灵敏度，并突出了该设备量化更深（>1 cm）组织层中吸收变化的潜力。
