James, E;
Powell, S;
(2020)
Diffuse correlation spectroscopy in the Fourier domain with holographic camera-based detection.
In:
Proceedings Volume 11239, ; 112390H (2020).
SPIE: San Francisco, CA, USA.
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Abstract
We present a new approach to Diffuse Correlation Spectroscopy (DCS) which overcomes the limited light throughput of single mode photon counting techniques, and operates with continuous wave illumination without disturbance from ambient light. Heterodyne holographic detection allows parallel measurement of the power spectrum of a fluctuating electric field across thousands of modes, from which we may directly compute flow parameters using a novel Fourier domain DCS model. Our detection and modelling strategy are rigorously validated by modulating the Brownian and flow components of an optical tissue phantom, demonstrating absolute measurements of the Brownian diffusion coefficient in excellent agreement with conventional methods. We demonstrate the feasability of in vivo measurement through the recovery of pulsatile flow rates measured in the human forearm.
| Type: | Proceedings paper |
|---|---|
| Title: | Diffuse correlation spectroscopy in the Fourier domain with holographic camera-based detection |
| Event: | SPIE BIOS: Dynamics and Fluctuations in Biomedical Photonics XVII |
| ISBN-13: | 9781510632417 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2545177 |
| Publisher version: | https://doi.org/10.1117/12.2545177 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Diffuse correlation spectroscopy, heterodyne holography, cerebral blood flow |
| 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/10095179 |
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