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Ultrathin, high-speed, all-optical photoacoustic endomicroscopy probe for guiding minimally invasive surgery

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)4414-4428
Number of pages15
JournalBiomedical Optics Express
Volume13
Issue number8
DOIs
Accepted/In press5 Jul 2022
Published27 Jul 2022

Bibliographical note

Funding Information: European Research Council (74119); Engineering and Physical Sciences Research Council (NS/A000027/1, NS/A000049/1); Wellcome Trust (203148/Z/16/Z, WT101957); Springboard Award (SBF006/1136). Publisher Copyright: © Journal 2022.

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King's Authors

Abstract

Photoacoustic (PA) endoscopy has shown significant potential for clinical diagnosis and surgical guidance. Multimode fibres (MMFs) are becoming increasingly attractive for the development of miniature endoscopy probes owing to their ultrathin size, low cost and diffractionlimited spatial resolution enabled by wavefront shaping. However, current MMF-based PA endomicroscopy probes are either limited by a bulky ultrasound detector or a low imaging speed that hindered their usability. In this work, we report the development of a highly miniaturised and high-speed PA endomicroscopy probe that is integrated within the cannula of a 20 gauge medical needle. This probe comprises a MMF for delivering the PA excitation light and a single-mode optical fibre with a plano-concave microresonator for ultrasound detection. Wavefront shaping with a digital micromirror device enabled rapid raster-scanning of a focused light spot at the distal end of the MMF for tissue interrogation. High-resolution PA imaging of mouse red blood cells covering an area 100 μm in diameter was achieved with the needle probe at ∼3 frames per second. Mosaicing imaging was performed after fibre characterisation by translating the needle probe to enlarge the field-of-view in real-time. The developed ultrathin PA endomicroscopy probe is promising for guiding minimally invasive surgery by providing functional, molecular and microstructural information of tissue in real-time.

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