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      Looking at sound: optoacoustics with all-optical ultrasound detection

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          Abstract

          Originally developed for diagnostic ultrasound imaging, piezoelectric transducers are the most widespread technology employed in optoacoustic (photoacoustic) signal detection. However, the detection requirements of optoacoustic sensing and imaging differ from those of conventional ultrasonography and lead to specifications not sufficiently addressed by piezoelectric detectors. Consequently, interest has shifted to utilizing entirely optical methods for measuring optoacoustic waves. All-optical sound detectors yield a higher signal-to-noise ratio per unit area than piezoelectric detectors and feature wide detection bandwidths that may be more appropriate for optoacoustic applications, enabling several biomedical or industrial applications. Additionally, optical sensing of sound is less sensitive to electromagnetic noise, making it appropriate for a greater spectrum of environments. In this review, we categorize different methods of optical ultrasound detection and discuss key technology trends geared towards the development of all-optical optoacoustic systems. We also review application areas that are enabled by all-optical sound detectors, including interventional imaging, non-contact measurements, magnetoacoustics, and non-destructive testing.

          Optical sensors: Ultra-sharp views of ultrasound

          Optoacoustic systems that use laser-induced ultrasound waves to reveal the 3D interiors of biological and man-made materials can find wider applications with optical sensors. Georg Wissmeyer from the Technische Universität München in Germany and colleagues review how high-bandwidth optical components are replacing conventional piezoelectric and capacitive sound detectors. One approach, which measures the phase of a probe beam as it reacts to ultrasound-driven changes in refractive index, can capture the entire acoustic field moving through a medium in a single snapshot. Another strategy employs micro-resonators to miniaturize interferometric sound sensors onto the tips of optical fibers for challenging intravascular imaging, such as during stent implantation. Because all-optical sensors are relatively insensitive to electromagnetic noise, they can be deployed in industrial environments for non-destructive testing of material defects.

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          Most cited references128

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          Going deeper than microscopy: the optical imaging frontier in biology.

          Optical microscopy has been a fundamental tool of biological discovery for more than three centuries, but its in vivo tissue imaging ability has been restricted by light scattering to superficial investigations, even when confocal or multiphoton methods are used. Recent advances in optical and optoacoustic (photoacoustic) imaging now allow imaging at depths and resolutions unprecedented for optical methods. These abilities are increasingly important to understand the dynamic interactions of cellular processes at different systems levels, a major challenge of postgenome biology. This Review discusses promising photonic methods that have the ability to visualize cellular and subcellular components in tissues across different penetration scales. The methods are classified into microscopic, mesoscopic and macroscopic approaches, according to the tissue depth at which they operate. Key characteristics associated with different imaging implementations are described and the potential of these technologies in biological applications is discussed.
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            Fiber grating sensors

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              Advances in real-time multispectral optoacoustic imaging and its applications

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                Author and article information

                Contributors
                vntziachristos@gmail.com
                Journal
                Light Sci Appl
                Light Sci Appl
                Light, Science & Applications
                Nature Publishing Group UK (London )
                2095-5545
                2047-7538
                15 August 2018
                15 August 2018
                2018
                : 7
                : 53
                Affiliations
                [1 ]ISNI 0000 0004 0483 2525, GRID grid.4567.0, Institute of Biological and Medical Imaging, , Helmholtz Zentrum München, ; Neuherberg, Germany
                [2 ]ISNI 0000000123222966, GRID grid.6936.a, Chair of Biological Imaging, , Technische Universität München, ; Munich, Germany
                [3 ]ISNI 0000000121102151, GRID grid.6451.6, Andrew and Erna Viterbi Faculty of Electrical Engineering, , Technion - Israel Institute of Technology, ; Haifa, Israel
                Article
                36
                10.1038/s41377-018-0036-7
                6107019
                30839640
                4322657f-370d-4db9-8b3a-d89e1da687c9
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 November 2017
                : 8 May 2018
                : 11 May 2018
                Categories
                Review Article
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                © The Author(s) 2018

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