Time-domain diffuse correlation spectroscopy

Sutin, Jason; Zimmerman, Brandon; Tyulmankov, Danil; Tamborini, Davide; Wu, Kuan-Cheng; Selb, Juliette; Gulinatti, Angelo; Rech, Ivan; Tosi, Alberto; Boas, David A.; Franceschini, Maria Angela

doi:10.1364/optica.3.001006

Cited by 115 publications

(129 citation statements)

References 48 publications

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“…, is an exponential function with respect to the lag time τ [15]. For simplicity, in this paper we assume that the scatterers undergo Brownian motion.…”

Section: Analytical Model For Td-dcsmentioning

confidence: 99%

“…The optical and dynamic parameters used for a head-like 3-layer model are listed in Table 1 [15,17]. The wavelength of the illuminating light was 785 nm, and the refractive index n r of each layer was 1.4.…”

Section: Simulation With a 3-layer Modelmentioning

confidence: 99%

“…Very recently, Sutin et al [15] have reported a novel approach for time-domain (or pathlength-resolved) DCS on phantoms and in a rat brain, which demonstrated the clinical feasibility of this approach. In contrast to a CW-DCS setup, a pulse laser was used as a laser source in TD-DCS.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to a CW-DCS setup, a pulse laser was used as a laser source in TD-DCS. The pulse laser has to have sufficiently short pulse width (tens to hundreds of picoseconds) while maintaining adequate coherence length (several centimeters) [15]. Apart from the laser source, all the other optoelectronic components in this TD-DCS system were very similar to those used in a typical time-resolved spectroscopy (TRS) measurement.…”

Section: Introductionmentioning

confidence: 99%

“…A combination of such a TD-DCS with a TRS system could provide depth-resolved information on tissue hemodynamics, including blood oxygenation (measured by TRS) and flow (measured by TD-DCS). Thus, it has great potential for biomedical application, such as monitoring cerebral hemodynamics associated with neural activity [15].…”

Section: Introductionmentioning

confidence: 99%

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Analytical models for time-domain diffuse correlation spectroscopy for multi-layer and heterogeneous turbid media

Qiu

Poon

et al. 2017

Biomed. Opt. Express

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Abstract:A novel approach for time-domain diffuse correlation spectroscopy (TD-DCS) has been recently proposed, which has the unique advantage by simultaneous measurements of optical and dynamical properties in a scattering medium. In this study, analytical models for calculating the time-resolved electric-field autocorrelation function is presented for a multilayer turbid sample, as well as a semi-infinite medium embedded with a small dynamic heterogeneity. To verify the analytical models, we used Monte Carlo simulations, which demonstrated that the theoretical prediction for the time-resolved autocorrelation function was highly consistent with the Monte Carlo simulation, validating the proposed analytical models. Using these analytical models, we also showed that TD-DCS has a higher sensitivity compared to conventional continuous-wave (CW) DCS for detecting the deeper dynamics. The presented analytical models and simulations can be utilized for quantification of optical and dynamical properties from future TD-DCS experimental data as well as for optimization of the experimental design to achieve maximum contrast for deep tissue dynamics.

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“…, is an exponential function with respect to the lag time τ [15]. For simplicity, in this paper we assume that the scatterers undergo Brownian motion.…”

Section: Analytical Model For Td-dcsmentioning

confidence: 99%

Section: Simulation With a 3-layer Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical models for time-domain diffuse correlation spectroscopy for multi-layer and heterogeneous turbid media

Qiu

Poon

et al. 2017

Biomed. Opt. Express

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Imaging Dynamics Beneath Turbid Media via Parallelized Single‐Photon Detection

Xu¹,

Yang²,

Liu³

et al. 2022

Advanced Science

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Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging methods measure optical absorption or fluorescent emission, it is also well-established that the temporal correlation of scattered coherent light diffuses through tissue much like optical intensity. Few works to date, however, have aimed to experimentally measure and process such temporal correlation data to demonstrate deep-tissue video reconstruction of decorrelation dynamics. In this work, a single-photon avalanche diode array camera is utilized to simultaneously monitor the temporal dynamics of speckle fluctuations at the single-photon level from 12 different phantom tissue surface locations delivered via a customized fiber bundle array. Then a deep neural network is applied to convert the acquired single-photon measurements into video of scattering dynamics beneath rapidly decorrelating tissue phantoms. The ability to reconstruct images of transient (0.1-0.4 s) dynamic events occurring up to 8 mm beneath a decorrelating tissue phantom with millimeter-scale resolution is demonstrated, and it is highlighted how the model can flexibly extend to monitor flow speed within buried phantom vessels.

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Advances in Dynamic Light Scattering Imaging of Blood Flow

Sdobnov,

Piavchenko,

Bykov

et al. 2023

Laser & Photonics Reviews

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Dynamic light scattering (DLS) is a well known experimental approach uniquely suited for the characterization of small particles undergoing Brownian motion in randomly inhomogeneous turbid scattering medium, including water suspension, polymers in solutions, cells cultures, and so on. DLS is based on the illuminating of turbid medium with a coherent laser light and further analyzes the intensity fluctuations caused by the motion of the scattering particles. The DLS‐based spin‐off derivative techniques, such laser Doppler flowmetry (LDF), diffusing wave spectroscopy (DWS), laser speckle contrast imaging (LSCI), and Doppler optical coherence tomography (DOCT), are exploited widely for non‐invasive imaging of blood flow in brain, skin, muscles, and other biological tissues. The recent advancements in the DLS‐based imaging technologies in frame of their application for brain blood flow monitoring, skin perfusion measurements, and non‐invasive blood micro‐circulation characterization are overviewed. The fundamentals, breakthrough potential, and practical findings revealed by DLS‐based blood flow imaging studies, including the limitations and challenges of the approach such as movement artifacts, non‐ergodicity, and overcoming high scattering properties of studied medium, are also discussed. It is concluded that continued research and further technological advancements in DLS‐based imaging will pave the way for new exciting developments and insights into blood flow diagnostic imaging.

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Time-domain diffuse correlation spectroscopy

Cited by 115 publications

References 48 publications

Analytical models for time-domain diffuse correlation spectroscopy for multi-layer and heterogeneous turbid media

Analytical models for time-domain diffuse correlation spectroscopy for multi-layer and heterogeneous turbid media

Imaging Dynamics Beneath Turbid Media via Parallelized Single‐Photon Detection

Advances in Dynamic Light Scattering Imaging of Blood Flow

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