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A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping

Bewick, JAJ; Munro, PRT; Arridge, SR; Guggenheim, JA; (2023) A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping. In: Photons Plus Ultrasound: Imaging and Sensing 2023. SPIE: San Francisco, CA, US. Green open access

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Abstract

Photoacoustic (PA) wavefront shaping (WFS; PAWS) could allow focusing light deep in living tissue, increasing the penetration depth of biomedical optics techniques. PAWS experiments have demonstrated focusing light through rigid scattering media. However, focusing deep in tissue is significantly more challenging. To examine the scale of this challenge, a computational model of the propagation of coherent light in tissue was developed to simulate the focusing of light via PAWS. To demonstrate the model, it was used to simulate focusing in an 800 µm thick tissue-like medium. To show the utility of the model, the focusing was repeated in different conditions illustrative of simplified PAWS experiments involving different spatial resolutions. As expected, a finer spatial resolution led to a brighter focus. By providing a simulation platform for studying PAWS, this work could pave the way to developing systems that can focus light in tissue.

Type: Proceedings paper
Title: A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping
Event: SPIE BiOS 2023
Location: San Francisco, California, United States
Dates: 28 Jan 2023 - 3 Feb 2023
ISBN-13: 9781510658639
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2656075
Publisher version: https://doi.org/10.1117/12.2656075
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: Wavefront shaping, photoacoustic imaging, computational simulation, T-matrix, scattering, biological tissue
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 Computer 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/10171476
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