ArticleJournal of biomedical optics2023
Field programmable gate array compression for large array multispeckle diffuse correlation spectroscopy.
Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Global reset-speckle contrast optical spectroscopy.Biomedical optics express · 2026Article
- Compact FPGA-based software correlator for real-time blood flow measurement with 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
- 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
- Comparison of diffuse correlation spectroscopy, interferometric diffusing wave spectroscopy, and speckle contrast optical spectroscopy for blood flow monitoring.Neurophotonics · 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
- Validation of the Openwater wearable optical system: cerebral hemodynamic monitoring during a breath-hold maneuver.Neurophotonics · 2024Article
- Diffuse Correlation Spectroscopy: A Review of Recent Advances in Parallelisation and Depth Discrimination Techniques.Sensors (Basel, Switzerland) · 2023Review
- Visualising varnish removal for conservation of paintings by fluorescence lifetime imaging (FLIM).Heritage science · 2023Article
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5 authors.
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Abstract
Significance: Diffuse correlation spectroscopy (DCS) is an indispensable tool for quantifying cerebral blood flow noninvasively by measuring the autocorrelation function (ACF) of the diffused light. Recently, a multispeckle DCS approach was proposed to scale up the sensitivity with the number of independent speckle measurements, leveraging the rapid development of single-photon avalanche diode (SPAD) cameras. However, the extremely high data rate from advanced SPAD cameras is beyond the data transfer rate commonly available and requires specialized high-performance computation to calculate large number of autocorrelators (ACs) for real-time measurements. Aim: We aim to demonstrate a data compression scheme in the readout field-programmable gate array (FPGA) of a large-pixel-count SPAD camera. On-FPGA, data compression should democratize SPAD cameras and streamline system integration for multispeckle DCS. Approach: We present a Results: We achieved a signal-to-noise ratio (SNR) gain of 110 over a single-pixel DCS system and more than threefold increase in SNR with respect to the state-of-the-art multispeckle DCS. Conclusions: The FPGA-embedded autocorrelation algorithm offers a scalable data compression method to large SPAD array, which can improve the sensitivity and usability of multispeckle DCS instruments.
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