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Fourier domain diffuse correlation spectroscopy with heterodyne holographic detection

James, E; Powell, S; (2020) Fourier domain diffuse correlation spectroscopy with heterodyne holographic detection. Biomedical Optics Express , 11 (11) pp. 6755-6779. 10.1364/BOE.400525. Green open access

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Abstract

We present a new approach to diffuse correlation spectroscopy which overcomes the limited light throughput of single-mode photon counting techniques. Our system employs heterodyne holographic detection to allow parallel measurement of the power spectrum of a fluctuating electric field across thousands of modes, at the shot noise limit, using a conventional sCMOS camera. This yields an order of magnitude reduction in detector cost compared to conventional techniques, whilst also providing robustness to the effects of ambient light and an improved signal-to-noise ratio during in vitro experiments. We demonstrate a GPU-accelerated holographic demodulation system capable of processing the incoming data (79.4 M pixels per second) in real-time, and a novel Fourier domain model of diffuse correlation spectroscopy which permits the direct recovery of flow parameters from the measured data. Our detection and modelling strategy are rigorously validated by modulating the Brownian component of an optical tissue phantom, demonstrating absolute measurements of the Brownian diffusion coefficient in excellent agreement with conventional methods. We further demonstrate the feasibility of our system through in vivo measurement of pulsatile flow rates measured in the human forearm.

Type: Article
Title: Fourier domain diffuse correlation spectroscopy with heterodyne holographic detection
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/BOE.400525
Publisher version: http://dx.doi.org/10.1364/BOE.400525
Language: English
Additional information: Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
Keywords: OPTICAL TOMOGRAPHY, WAVE SPECTROSCOPY, TAGGED PHOTONS, OFF-AXIS, ULTRASOUND, LIGHT, NOISE, PARALLEL
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10118366
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