ArticleBiomedical optics express2018
Small separation diffuse correlation spectroscopy for measurement of cerebral blood flow in rodents.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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Who cites it
19 citing papers in PubMed, 22 citations in OpenAlex.
- Approaches for modelling autocorrelation function and data processing in time-domain diffuse correlation spectroscopy.Biomedical optics express · 2025Article
- Assessing liquid light guides in diffuse correlation spectroscopy systems.Biomedical optics express · 2025Article
- Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.Journal of biomedical optics · 2025Article
- Cerebral blood flow monitoring using a deep learning implementation of the two-layer diffuse correlation spectroscopy analytical model with a 512 × 512 SPAD array.Neurophotonics · 2025Article
- Time-Resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow.IEEE transactions on medical imaging · 2025Article
- Diffuse correlation spectroscopy: current status and future outlook.Neurophotonics · 2023Article
- Influence of source-detector separation on diffuse correlation spectroscopy measurements of cerebral blood flow with a multilayered analytical model.Neurophotonics · 2022Article
- Systems Analysis of the Neuroinflammatory and Hemodynamic Response to Traumatic Brain Injury.Journal of visualized experiments : JoVE · 2022Article
- Performance assessment of laser sources for time-domain diffuse correlation spectroscopy.Biomedical optics express · 2021Article
- Dissecting the microvascular contributions to diffuse correlation spectroscopy measurements of cerebral hemodynamics using optical coherence tomography angiography.Neurophotonics · 2021Article
- Time-domain diffuse correlation spectroscopy (TD-DCS) for noninvasive, depth-dependent blood flow quantification in human tissue in vivo.Scientific reports · 2021Article
- Improved accuracy of cerebral blood flow quantification in the presence of systemic physiology cross-talk using multi-layer Monte Carlo modeling.Neurophotonics · 2021Article
- Cerebrovascular reactivity measured in awake mice using diffuse correlation spectroscopy.Neurophotonics · 2021Article
- Hematocrit significantly confounds diffuse correlation spectroscopy measurements of blood flow.Biomedical optics express · 2020Article
- Beyond diffuse correlations: deciphering random flow in time-of-flight resolved light dynamics.Optics express · 2020Article
- Longitudinal 3D Blood Flow Distribution Provided by Diffuse Correlation Tomography during Bone Healing in a Murine Fracture Model.Photochemistry and photobiology · 2020Article
- Time-of-flight resolved light field fluctuations reveal deep human tissue physiology.Nature communications · 2020Article
- Small separation frequency-domain near-infrared spectroscopy for the recovery of tissue optical properties at millimeter depths.Biomedical optics express · 2019Article
- Noninvasive optical assessment of resting-state cerebral blood flow in children with sickle cell disease.Neurophotonics · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Diffuse correlation spectroscopy (DCS) has shown promise as a means to non-invasively measure cerebral blood flow in small animal models. Here, we characterize the validity of DCS at small source-detector reflectance separations needed for small animal measurements. Through Monte Carlo simulations and liquid phantom experiments, we show that DCS error increases as separation decreases, although error remains below 12% for separations > 0.2 cm. In mice, DCS measures of cerebral blood flow have excellent intra-user repeatability and strongly correlate with MRI measures of blood flow (R = 0.74,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.