2021
DOI: 10.1063/5.0031225
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Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection

Abstract: Diffuse correlation spectroscopy (DCS) is a well-established method that measures rapid changes in scattered coherent light to identify blood flow and functional dynamics within a tissue. While its sensitivity to minute scatterer displacements leads to a number of unique advantages, conventional DCS systems become photon-limited when attempting to probe deep into the tissue, which leads to long measurement windows (∽1 sec). Here, we present a high-sensitivity DCS system with 1024 parallel detection channels in… Show more

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Cited by 50 publications
(65 citation statements)
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“…The output of the neural network is an image x ∈ R 48×64 , with an image pixel size of 220 × 220µm 2 . This pixel size is a tunable parameter in our reconstruction model, which we select as smaller than the expected achievable resolution [16,33]). Figure 4 depicts our image reconstruction network.…”
Section: Imaging With Supervised Learningmentioning
confidence: 99%
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“…The output of the neural network is an image x ∈ R 48×64 , with an image pixel size of 220 × 220µm 2 . This pixel size is a tunable parameter in our reconstruction model, which we select as smaller than the expected achievable resolution [16,33]). Figure 4 depicts our image reconstruction network.…”
Section: Imaging With Supervised Learningmentioning
confidence: 99%
“…To generate expected temporal fluctuation variations within living tissue caused e.g. by blood flow, we placed a digital micro-mirror device (DMD) immediately behind this tissue phantom, with which we programmatically created spatiotemporally varying patterns at kilohertz rates [33].…”
Section: Parallelized Speckle Detection Setup With Novel Phantommentioning
confidence: 99%
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