ArticleBiomedical optics express2023
Massively parallel, real-time multispeckle diffuse correlation spectroscopy using a 500 × 500 SPAD camera.
Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Compact FPGA-based software correlator for real-time blood flow measurement with diffuse correlation spectroscopy.Biomedical optics express · 2026Article
- Physics-informed neural network for mapping vascular and tissue dynamics using laser speckle contrast imaging.Neurophotonics · 2026Article
- Comparative validation of speckle contrast optical spectroscopy against diffuse correlation spectroscopy for monitoring human cerebral blood flow.Neurophotonics · 2026Article
- Characterization of a fiber-coupled SPAD camera system for deep-tissue blood-flow measurement using diffuse correlation spectroscopy.Biomedical optics express · 2026Article
- Highly parallel, 1060 nm interferometric diffusing wave spectroscopy with a time-of-flight filter.Biomedical optics express · 2026Article
- Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.Journal of biomedical optics · 2025Article
- Development of 3D-Stacked 1Megapixel Dual-Time-Gated SPAD Image Sensor with Simultaneous Dual Image Output Architecture for Efficient Sensor Fusion.Sensors (Basel, Switzerland) · 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
- Beneath the surface: revealing deep-tissue blood flow in human subjects with massively parallelized diffuse correlation spectroscopy.Neurophotonics · 2025Article
- Time-Resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow.IEEE transactions on medical imaging · 2025Article
- Fast blood flow index reconstruction of diffuse correlation spectroscopy using a back-propagation-free data-driven algorithm.Biomedical optics express · 2025Article
- Optical, contact-free assessment of brain tissue stiffness and neurodegeneration.Biomedical optics express · 2025Article
- ATLAS: a large array, on-chip compute SPAD camera for multispeckle diffuse correlation spectroscopy.Biomedical optics express · 2024Article
- A Device-on-Chip Solution for Real-Time Diffuse Correlation Spectroscopy Using FPGA.Biosensors · 2024Article
- Tunable dynamical tissue phantom for laser speckle imaging.Biomedical optics express · 2024Article
- Validation of the Openwater wearable optical system: cerebral hemodynamic monitoring during a breath-hold maneuver.Neurophotonics · 2024Article
- Article
- Diffuse Correlation Spectroscopy: A Review of Recent Advances in Parallelisation and Depth Discrimination Techniques.Sensors (Basel, Switzerland) · 2023Review
- Article
- Assessing depth sensitivity in laser interferometry speckle visibility spectroscopy (iSVS) through source-to-detector distance variation and cerebral blood flow monitoring in humans and rabbits.Biomedical optics express · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse correlation spectroscopy (DCS) is a promising noninvasive technique for monitoring cerebral blood flow and measuring cortex functional activation tasks. Taking multiple parallel measurements has been shown to increase sensitivity, but is not easily scalable with discrete optical detectors. Here we show that with a large 500 × 500 SPAD array and an advanced FPGA design, we achieve an SNR gain of almost 500 over single-pixel mDCS performance. The system can also be reconfigured to sacrifice SNR to decrease correlation bin width, with 400 ns resolution being demonstrated over 8000 pixels.
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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.