3 citations · 4 across the 4 of their papers we have counts for
4 papers
Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements
Mingliang Pan, Quan Wang, Yuanzhe Zhang +1
Multi-layer diffuse correlation spectroscopy (DCS) models have been developed to reduce the contamination of superficial signals in cerebral blood flow index (CBFi) measurements. H…
Cerebral blood flow monitoring using a deep learning implementation of the two-layer DCS analytical model with a 512x512 SPAD array
Mingliang Pan, Chenxu Li, Yuanzhe Zhang +8
Diffuse correlation spectroscopy (DCS) analyzes the autocorrelation function of photons scattered by red blood cells, enabling non-invasive, continuous measurement of deep tissue b…
Real-time diffuse correlation spectroscopy with a chip-based correlator for measuring human cerebral blood flow and brain function
Quan Wang, Yuanyuan Hua, Chenxu Li +15
Diffuse correlation spectroscopy (DCS) is a noninvasive optical technique that probes microvascular blood flow in deep tissues. Here, we present and validate a new on-chip hardware…
A comprehensive overview of diffuse correlation spectroscopy: theoretical framework, recent advances in hardware, analysis, and applications
Quan Wang, Mingliang Pan, Lucas Kreiss +8
Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have furthe…