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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Bioeng. Biotechnol.</journal-id>
<journal-title>Frontiers in Bioengineering and Biotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Bioeng. Biotechnol.</abbrev-journal-title>
<issn pub-type="epub">2296-4185</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">786376</article-id>
<article-id pub-id-type="doi">10.3389/fbioe.2021.786376</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Bioengineering and Biotechnology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Stack-Layer Dual-Element Ultrasonic Transducer for Broadband Functional Photoacoustic Tomography</article-title>
<alt-title alt-title-type="left-running-head">Luo et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Stack-Layer Duel-Element Transducer in PAT</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Xiaofei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1494325/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Yiqi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zeyu</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shan</surname>
<given-names>Han</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1472613/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Qibo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1494858/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Jianguo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1062931/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Biomedical Engineering, School of Basic Medical Science, Central South University, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>School of Instrumentation and Optoelectronics Engineering, Beihang University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>School of Mechanical and Electrical Engineering, Central South University, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1375924/overview">Shaofei Shen</ext-link>, Shanxi Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1128227/overview">Puxiang Lai</ext-link>, Hong Kong Polytechnic University, Hong Kong SAR, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1507867/overview">Huan Qin</ext-link>, South China Normal University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1508045/overview">Lin Huang</ext-link>, University of Electronic Science and Technology of China, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jianguo Ma, <email>majianguo@buaa.edu.cn</email>; Bo Wang, <email>lrain32@126.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this&#x20;work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Biomaterials, a section of the journal Frontiers in Bioengineering and Biotechnology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>786376</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Luo, Cai, Chen, Shan, Sun, Lin, Ma and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Luo, Cai, Chen, Shan, Sun, Lin, Ma and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Current Photoacoustic tomography (PAT) approaches are based on a single-element transducer that exhibits compromised performance in clinical imaging applications. For example, vascular, tumors are likely to have complicated shapes and optical absorptions, covering relatively wide spectra in acoustic signals. The wide ultrasonic spectra make it difficult to set the detection bandwidth optimally in advance. In this work, we propose a stack-layer dual-element ultrasonic transducer for PAT. The central frequencies of the two piezoelectric elements are 3.06&#xa0;MHz (99.3% bandwidth at &#x2013;6&#xa0;dB) and 11.07&#xa0;MHz (85.2% bandwidth at &#x2013;6&#xa0;dB), respectively. This transducer bridges the sensitivity capability of ultrasound and the high contrast of optical methods in functional photoacoustic tomography. The dual-element transducer enabled multiscale analysis of the vascular network in rat brains. Using a multi-wavelength imaging scheme, the blood oxygen saturation was also detected. The preliminary results showed the great potential of broad-bandwidth functional PAT on vascular network visualization. The method can also be extended to whole-body imaging of small animals, breast cancer detection, and finger joint imaging.</p>
</abstract>
<kwd-group>
<kwd>dual-element transducer</kwd>
<kwd>oxygen saturation</kwd>
<kwd>broadband</kwd>
<kwd>functional imaging</kwd>
<kwd>photoacoustic tomography (PAT)</kwd> </kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Photoacoustic imaging takes advantage of the low ultrasound scattering and high optical contrast in the biological tissues and offers cross-scale structural and functional images with excellent spatial resolutions (<xref ref-type="bibr" rid="B7">Ku and Wang, 2000</xref>; <xref ref-type="bibr" rid="B25">Wang, 2008</xref>; <xref ref-type="bibr" rid="B16">Moore et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B13">Luo et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B35">Zhou et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B12">Liu et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B34">Zhou et&#x20;al., 2020</xref>). So far, PAT has been applied in a wide spectrum of biomedical applications (<xref ref-type="bibr" rid="B5">Jo et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B19">Oraevsky et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B17">Na et&#x20;al., 2021</xref>). For example, by providing vascular structure (<xref ref-type="bibr" rid="B26">Wang et&#x20;al., 2003</xref>; <xref ref-type="bibr" rid="B27">Wang et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B9">Li et&#x20;al., 2015</xref>), deoxyhemoglobin (<xref ref-type="bibr" rid="B10">Li et&#x20;al., 2018</xref>), oxyhemoglobin total hemoglobin [tHb] and blood oxygen saturation [S0<sub>2</sub>] information, PAT can visualize blood vessel networks in small animal brains (<xref ref-type="bibr" rid="B32">Yang et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B14">Mallidi et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B24">Wang and Hu, 2012</xref>; <xref ref-type="bibr" rid="B11">Lin et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Mercep et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B33">Zhang et&#x20;al., 2018</xref>) for functional biomedical diagnostics.</p>
<p>Although photoacoustic signals cover a wide spectral range, a single transducer receives only part of the spectrum because of its limited bandwidth (<xref ref-type="bibr" rid="B6">Ku and Wang, 2001</xref>; <xref ref-type="bibr" rid="B24">Wang and Hu, 2012</xref>). In general, a high-frequency transducer can provide a better resolution, but the signal is relatively weak due to the high ultrasound attenuation in the media. This leads to a trade-off between imaging resolution and sensitivity (<xref ref-type="bibr" rid="B8">Ku et&#x20;al., 2004</xref>). Several approaches have been developed to counteract the limited bandwidth. For example, in order to obtain more complicated structure imaging, (<xref ref-type="bibr" rid="B8">Ku et&#x20;al., 2004</xref>) employed multiple ultrasonic transducers with various central frequencies simultaneous. However, using different transducers involved a complex assembly process, which is hard to guarantee signals in the same rotation phase. Some groups have developed a dual-element transducer for the detection of the distribution and reconstruction of the lipid in tissues. However, due to the mismatch of the two acoustic fields in the transducer, the obtained signals are not spatially coincident with each other (<xref ref-type="bibr" rid="B3">Cao et&#x20;al., 2020</xref>). An alternative approach by using an ultra-broadband transducer and tomographic reconstruction was designed to obtain both high-frequency and low-frequency information at the same time (<xref ref-type="bibr" rid="B1">Aguirre et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B4">Haedicke et&#x20;al., 2020</xref>). However, in theory, the sensitivity of this approach is lower compared to a dual-element ultrasound transducer. Although PVDF based transducers and optical-ultrasound detection methods have a wide-spectrum response (<xref ref-type="bibr" rid="B29">Xiao et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B20">Sappati and Bhadra, 2018</xref>; <xref ref-type="bibr" rid="B28">Wissmeyer et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B21">Shepelin et&#x20;al., 2019</xref>), (as shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref>), The deficiency of these methods was that they are weak in or lack the ability to produce ultrasound for simultaneous photoacoustic and ultrasound imaging. Therefore, there is still a strong demand for developing a new method to overcome the limited bandwidth for photoacoustic imaging. Stack-layer dual-frequency transducers with large band gaps have been developed previously for super-harmonic imaging, which is not suitable for sensing broadband photoacoustic signals. Nevertheless, similar designs with stack-layer dual-element transducers hold the potential in photoacoustic imaging due to the broadband coverage.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Comparison of optical, piezoelectric, PVDF (polymer) and our dual-element piezoflex PZT (composite materials) ultrasound transducer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Detector type</th>
<th align="center">Sensitivity Nep (mPa/Hz<sup>1/2</sup>)</th>
<th align="center">d33 (pC/N)</th>
<th align="center">BW (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Piezoelectric</td>
<td align="center">0.2</td>
<td align="center">410</td>
<td align="center">60&#x2013;80</td>
</tr>
<tr>
<td align="left">Optical</td>
<td align="center">78</td>
<td align="center">&#x2014;</td>
<td align="center">90</td>
</tr>
<tr>
<td align="left">PVDF</td>
<td align="center">14.4</td>
<td align="center">13&#x2013;28</td>
<td align="center">163.6</td>
</tr>
<tr>
<td align="left">PZT-5H 1&#x2013;3 composite</td>
<td align="center">7.1</td>
<td align="center">550</td>
<td align="center">99.3</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Here, we designed and fabricated a stack-layer dual-element ultrasound transducer with central frequencies of 3.06 and 11.7&#xa0;MHz. This broadband ultrasound transducer can directly obtain high-frequency signals and low-frequency signals simultaneously, enabling multiscale imaging of targeted regions. The imaging of phantom samples and rat brains was successfully conducted to verify the adaptability and capability of our method.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Design of Stack-Layer Dual-Element Transducer</title>
<p>Stack-layer dual-element ultrasonic transducer is proposed to cover a broad bandwidth at a coincident position in the acoustic field. First, two active elements, i.e.,&#x20;two piezoelectric layers, were used to cover two spectral ranges, which overcame the intrinsic bandwidth limitations of piezoelectric materials. Second, the high-frequency element was in front of the low-frequency one, which formed a stack-layer arrangement spatially. The stack-layer arrangement of the two elements assures the overlap of the two beams and enables broadband coverage within the&#x20;beam.</p>
<p>The cross-sectional structure of the dual-element transducer and photograph of the prototype for PAT imaging are shown in <xref ref-type="fig" rid="F1">Figures 1A,B</xref>. The outer diameter of the brass transducer is 12&#xa0;mm. The piezoelectric elements are made of PZT-5H 1&#x2013;3 composite, and the aperture is 7&#xa0;mm &#xd7; 5&#xa0;mm and 4&#xa0;mm &#xd7; 4&#xa0;mm for the low and high-frequency elements, respectively. The aperture difference of the two elements was due to the need for electrical impedence matching to the input impedence of the data acquisition system of 50&#xa0;&#x3a9;. Because piezoelectric elements with higher frequencies have smaller electrical impedence. To balance the two elements, the aperture of the high-frequency element needs to be smaller. Gold was sputtered on both surfaces of the piezoelectric layers as electrodes. Tungsten powder mixed with epoxy resin (EPO-TEK 301) was centrifuged and applied to the ceramic as the backing layer. A mixture of alumina powder and epoxy was used for the first matching layer, and pure epoxy was used as the second matching layer. Properties of piezoelectric materials, acoustic matching layers, and backing layer used for the dual-element transducer are shown in <xref ref-type="table" rid="T2">Table&#x20;2</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Dual-element planar transducer. <bold>(A)</bold> The cross-sectional structure of the dual-element transducer. <bold>(B)</bold> Photograph of the transducer. </p>
</caption>
<graphic xlink:href="fbioe-09-786376-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Material properties and dimensions for the dual-element transducer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameters</th>
<th align="center">Active low freq</th>
<th align="center">Active high freq</th>
<th align="center">1st mating</th>
<th align="center">2nd mating</th>
<th align="center">Backing</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Density (g/cm<sup>3</sup>)</td>
<td align="center">4.1</td>
<td align="center">4.1</td>
<td align="center">1.865</td>
<td align="center">1.13</td>
<td align="center">6.237</td>
</tr>
<tr>
<td align="left">Velocity (km/s)</td>
<td align="center">3.2</td>
<td align="center">3.2</td>
<td align="center">2.923</td>
<td align="center">2.556</td>
<td align="center">1.087</td>
</tr>
<tr>
<td align="left">Acoustic impedance (MRayl)</td>
<td align="center">13.1</td>
<td align="center">13.1</td>
<td align="center">5.5</td>
<td align="center">2.9</td>
<td align="center">11.3</td>
</tr>
<tr>
<td align="left">Thinkness (&#x3bc;m)</td>
<td align="center">533</td>
<td align="center">160</td>
<td align="center">56</td>
<td align="center">36</td>
<td align="center">10,000</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>Transducer Characterization</title>
<p>The impulse response waveforms of the 3.06 and 11.07&#xa0;MHz transducer elements were characterized by a needle hydrophone (HGL-0200, Onda Corp, Sunnyvale, CA, United&#x20;States). In the measurements, electrical pulses from a function generator (UTG2062B, Uni-Trend Technology Co., Guangdong, China) excited the transducer elements and signals from the needle hydrophone were recorded by a digital oscilloscope (MSO54, Tektronix, Inc., Beaverton, OR, United&#x20;States). To ensure the measurement accuracy, the hydrophone was placed coaxially with the dual-element transducer in a deionized water tank and scanned along the axial direction of the transducer to find the waveform with the maximum peak-to-peak voltage. We compared the time-domain waveforms and their corresponding frequency spectra. The transmission responses of the 3.06&#xa0;MHz element are shown in <xref ref-type="fig" rid="F2">Figures 2A,B</xref>. The &#x2013;6&#xa0;dB bandwidth covers from 1.54 to 4.58&#xa0;MHz, corresponding to a fractional bandwidth of 99.3%. <xref ref-type="fig" rid="F2">Figures 2C,D</xref> show the transmission responses of the 11.07&#xa0;MHz element, leading to a &#x2013;6&#xa0;dB bandwidth coverage of 6.35&#x2013;15.78&#xa0;MHz and a fractional bandwidth of&#x20;85.2%.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Transmit characteristic of the dual-element transducer. <bold>(A)</bold> A hydrophone measured waveform of the 3.06&#xa0;MHz frequencies element. <bold>(B)</bold> Spectrum diagram of the 3.06&#xa0;MHz frequencies element of the dual-element transducer. <bold>(C)</bold> A hydrophone measured waveform of the 11.07&#xa0;MHz frequencies element. <bold>(D)</bold> Spectrum diagram of the 11.07&#xa0;MHz frequencies element of the dual-element transducer.</p>
</caption>
<graphic xlink:href="fbioe-09-786376-g002.tif"/>
</fig>
<p>It&#x2019;s noticed that there are some alias echos in the high-frequency signal, as noted with an arrow in <xref ref-type="fig" rid="F2">Figure&#x20;2C</xref>. The inconsistency of the acoustic impedance between the backing and the piezoelectric material is the main cause of aliasing echo. We glued the backing to the piezoelectric layer with a low-impedance epoxy resin, which also resulted in the reduction of the equivalent acoustic impedance. The reduction of the acoustic impedance of the backing layer results in the reflection of high-frequency echoes at the backing, resulting in some aliasing echoes.</p>
</sec>
<sec id="s2-3">
<title>Experiment Setup</title>
<p>The photoacoustic sensing capability of the dual-element transducer was evaluated on a leaf phantom and a rat brain experimentally. First, to test our transducer, one piece of leaf veins with &#x223c;8&#xa0;mm dimension was used as a phantom, which was placed on a table with a diameter of 3&#xa0;cm. Second, the vasculature of the rat brain was used to demonstrate the imaging performance. Both imagings share the same experimental setup with a two-dimensional (2D) scanning. The schematic of the 2D PAT system was shown in <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>. The target was illuminated by using a pulsed laser from an optical parametric oscillator (OPO) laser (SpitLight 600&#x20;OPO-532 mid band, Innolas). The optical intensity on the top of the phantom was about 5&#xa0;mJ/cm<sup>2</sup>, and the repetition rate was 20&#xa0;Hz. The total step number of the 2D scan was 360 with an angular step of 1&#xb0;. The distance between the rotation center to the transducer detection surface was about 30&#xa0;mm. The signal was first amplified by a pulser/receiver (DPR500, Ultrasonics), and then digitized with an acquisition card (NI-5124, 12 bit, 100&#xa0;MHz sampling frequency) in the computer. The whole system was synchronized with the laser. And the data were collected from the hard disk for later processing.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic of the 2D circular-scanning-based dual-frequency PAT system.</p>
</caption>
<graphic xlink:href="fbioe-09-786376-g003.tif"/>
</fig>
</sec>
<sec id="s2-4">
<title>Animal Protocol</title>
<p>We performed functional PAT of rat brains <italic>in vivo</italic> to test the capability of our dual-element transducer and assessed the oxygenation level of hemoglobin and [tHb] level simultaneously. Sprague Dawley rats (&#x223c;60&#xa0;g, 3&#xa0;weeks<underline>,</underline> Hunan SJA laboratory animal Co., LTD.) were used. The protocol of animal experiments has been approved by the animal ethical committee of the Central South University of China. The hair on the head of the rat was removed using hair remover cream before imaging. The rat was anesthetized with Pentobarbital [120&#xa0;mg/kg, Intra-peritoneal (IP)] and kept motionless throughout the experiment. A homemade animal holder was used to fix the rat head. And a transparent membrane between water and rat head was used to seal the cylindrical&#x20;hole.</p>
<p>According to the absorption difference between hemoglobin and tissue, a pulse laser with a wavelength of 760 and 840&#xa0;nm is used to image the vascular morphology, total hemoglobin, and oxygen saturation distribution. This enables us to achieve multi-parameter photoacoustic tomography.</p>
<p>In order to obtain the photoacoustic signal for each image, the dual-element transducer scanned 360 steps in the horizontal plane around the cerebral cortex at the back of the brain with 1&#xb0; per step. For signal averaging, four laser pulses were applied at each scanning position. The signal acquisition period of each imaging was about 10&#xa0;min. In total, we obtained four images corresponding to two frequencies at two wavelengths. After collection of data for imaging, the rat recovered normally and no obvious health problems were observed. In the end, the rat was sacrificed using pentobarbital.</p>
</sec>
<sec id="s2-5">
<title>Data Processing</title>
<p>PAT acquisitions with dual-element transducers were conducted to image the phantom. And PAT acquisitions with 760 and 840&#xa0;nm laser wavelengths were performed to image the rat brain. Then, the Hilbert transform was applied to the signals, and the resulted complex data was employed for the reconstruction of two-dimensional PAT images with a conventional back-projection method (<xref ref-type="bibr" rid="B31">Xu and Wang, 2005</xref>). The final reconstructed images were presented by the amplitudes of the pixel values. In this work, we also merged 3.06&#xa0;MHz element images and 11.07&#xa0;MHz element images to display the morphology and distribution of the rat brain and its surrounding tissues. For the merged 2D PAT images, the equation is used to calculate pixel values in the hue, saturation and value (HSV) color model (<xref ref-type="bibr" rid="B23">Wang et&#x20;al., 2021</xref>).<disp-formula id="equ1">
<mml:math id="m1">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi>h</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mn>2</mml:mn>
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<mml:mrow>
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<mml:mo>(</mml:mo>
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<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>3.06</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>i</mml:mi>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>11.07</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>s</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>v</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>mod</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>s</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>3.06</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>i</mml:mi>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>11.07</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>Here, <italic>h</italic>, <italic>s</italic>, and <italic>v</italic> represent the hue, saturation, value components of the pixel, <inline-formula id="inf1">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>3.06</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mn>11.07</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the normalized photoacoustic image acquired by 3.06&#xa0;MHz frequency element and 11.07&#xa0;MHz frequency element, <inline-formula id="inf3">
<mml:math id="m4">
<mml:mi>i</mml:mi>
</mml:math>
</inline-formula> is the imaginary&#x20;unit.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Phantom Results</title>
<p>Photoacoustic images of a piece of leaf veins obtained by the dual-element planar transducer are shown in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>. <xref ref-type="fig" rid="F4">Figures 4A,B</xref> are the reconstruction PAT images employed by the 3.06&#xa0;MHz element and 11.07&#xa0;MHz element, respectively. A merged image of <xref ref-type="fig" rid="F4">Figures 4A,B</xref> is shown in <xref ref-type="fig" rid="F4">Figure&#x20;4C</xref>. A photograph of the piece of leaf veins shown in <xref ref-type="fig" rid="F4">Figure&#x20;4D</xref> was used for comparison.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Reconstruction results of a piece of leaf veins using a dual-element planar transducer. <bold>(A&#x2013;C)</bold> The results given by the low-frequency element, the high-frequency element and the merged results of the two elements. <bold>(D)</bold> Photograph of the leaf&#x20;veins.</p>
</caption>
<graphic xlink:href="fbioe-09-786376-g004.tif"/>
</fig>
<p>The color pixel in <xref ref-type="fig" rid="F4">Figure&#x20;4C</xref> represents the relative intensities of the 3.06 and 11.07&#xa0;MHz frequencies photoacoustic signals. It becomes purely red if only 3.06&#xa0;MHz photoacoustic signals are generated, and a purely green pixel means that only 11.07&#xa0;MHz photoacoustic signals are received. The overall signal intensity is represented by the brightness of the pixel. As shown in <xref ref-type="fig" rid="F4">Figure&#x20;4A</xref>, the 3.06&#xa0;MHz element has a better imaging effect on the main vein branches but has a poor reconstruction effect on the small branches. On the contrary, the 11.07&#xa0;MHz element image the small veins clearly with a compromised performance at the main veins. Therefore, with the benefit of our dual-element transducer, the broadband signal can be obtained simultaneously at one scan without changing the rotation phase. This has been indicated with the merged reconstruction image in <xref ref-type="fig" rid="F4">Figure&#x20;4C</xref>, which is similar to the photograph of the leaf veins shown in <xref ref-type="fig" rid="F4">Figure&#x20;4D</xref>.</p>
</sec>
<sec id="s3-2">
<title>Animal Results</title>
<p>By application of our transducer, we obtained the results of photoacoustic reconstruction of the rat cortex. Results given by the 3.06&#xa0;MHz element, the 11.07&#xa0;MHz element, and the merged signals at the 760&#xa0;nm laser are shown in <xref ref-type="fig" rid="F5">Figures 5A&#x2013;C</xref>, respectively. Similarly, <xref ref-type="fig" rid="F5">Figures 5D&#x2013;F</xref> show the set of the three images excited by the 840&#xa0;nm laser. Since tissues have different absorption characteristics under various light excitations, the PAT images of the two wavelengths show different structural characteristics. Images with 760&#xa0;nm laser excitation mainly show the distribution of deoxyhemoglobin, whereas those with 840&#xa0;nm laser excitation mainly show the distribution of oxygenated hemoglobin.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Reconstruction results of rat brain. <bold>(A&#x2013;C)</bold> were the images obtained by using the 3.06&#xa0;MHz element, the 11.07&#xa0;MHz element and the merged image of <bold>(A,B)</bold> at 760&#xa0;nm OPO laser, respectively. <bold>(D</bold>&#x2013;<bold>F)</bold> were the images obtained by using the 3.06&#xa0;MHz element, the 11.07&#xa0;MHz element and the merged image of <bold>(D,E)</bold> at 840&#xa0;nm OPO laser, respectively.</p>
</caption>
<graphic xlink:href="fbioe-09-786376-g005.tif"/>
</fig>
<p>The brain images obtained under the 760 and 840&#xa0;nm laser present the same vascular structure but different magnitudes of optical absorption. With high absorption contrast between the blood and background brain tissue, all of the brain images show the superior sagittal sinus and some branches can be clearly observed and match well with the vascular.</p>
<p>Similar to the leaf veins results, we obtained a good imaging effect on the main vascular branches but a poor effect on the small vascular by the 3.06&#xa0;MHz element with both 760 and 840&#xa0;nm of optical excitation (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>). In comparison, the small vascular, but not the main vascular, was observed by the 11.07&#xa0;MHz element with the two excitations (<xref ref-type="fig" rid="F5">Figures 5B&#x2013;E)</xref>. Therefore, our results further confirmed that the dual-element transducer obtained the 11.07&#xa0;MHz and the 3.06&#xa0;MHz information at the same time without changing the rotation&#x20;phase.</p>
<p>For further investigation, we calculated the [tHb] and [SO<sub>2</sub>] distribution of the rat brain [10]. We selected the region around the superior sagittal sinus as the region of interest. Results showed that the levels of [SO<sub>2</sub>] and [tHb] in this region were significantly higher than that of other branches in <xref ref-type="fig" rid="F6">Figure&#x20;6</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Functional 2D PAT results of rat brain. <bold>(A</bold>&#x2013;<bold>C)</bold> Dual-wavelength structure, [tHb] and [SO2] results by 3.06&#xa0;MHz frequency element of the rat brain. <bold>(D</bold>&#x2013;<bold>F)</bold> Dual-wavelength structure, [tHb] and [SO<sub>2</sub>] results by 11.07&#xa0;MHz frequency element of the rat&#x20;brain.</p>
</caption>
<graphic xlink:href="fbioe-09-786376-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In PAT systems, the &#x201c;limited bandwidth&#x201d; is one of the prime problems of the current existing ultrasonic transducers, which has not been effectively solved (<xref ref-type="bibr" rid="B2">Awasthi et&#x20;al., 2020</xref>). The limited bandwidth of transducers may cause many problems of PAT such as feature loss, low sensitivity and limited resolution (<xref ref-type="bibr" rid="B22">Wang et&#x20;al., 2021</xref>). This prevented the acquisition of high-quality photoacoustic images. The goal of this work is to find an effective way to solve this problem in terms of the device. Therefore, we designed and fabricated a stack-layer dual-element ultrasound transducer. Compared with the traditional single element transducer, our transducer obtains low frequency (3.06&#xa0;MHz, 99.3% bandwidth at &#x2013;6&#xa0;dB) and high-frequency information (11.07&#xa0;MHz, 85.2% bandwidth at &#x2013;6&#xa0;dB) in one&#x20;scan.</p>
<p>
<italic>In vivo</italic>, PAT of rat brian results showed the structure of 10&#xa0;mm &#xd7; 10&#xa0;mm region with brain hemoglobin and oxygen saturation distribution. The functional results obtained by the 3.06&#xa0;MHz element were compared with those obtained by the 11.07&#xa0;MHz element (<xref ref-type="fig" rid="F6">Figure&#x20;6</xref>). The 3.06&#xa0;MHz element imaged the main blood vessels, and the 11.07&#xa0;MHz element clearly imaged small blood vessels with tissue information. The dual-elements transducer with 3.06 and 11.07&#xa0;MHz elements formed complementary information in merged photoacoustic images (<xref ref-type="fig" rid="F6">Figures 6C,F</xref>). The stacked design of the transducer enables one scan to obtain high-frequency and low-frequency information at the same rotation phase simultaneously, which avoids the physiological changes caused by different scans and transducers. In addition, dual-frequency elements transducer supplied different depth information through dual-wavelength systems. It&#x2019;s noted that in this study, we used 760&#xa0;nm wavelength and 840&#xa0;nm wavelength to obtain the oxygen saturation, while the light absorption peak of a blood vessel is around 520&#xa0;nm wavelength. Thus, in our results, the blood vessel density is not as high as those obtained around 532&#xa0;nm. In future studies, brain blood vessel imaging with a 532&#xa0;nm laser can be performed with our system.</p>
<p>However, there are still some limitations and remaining challenges for future advances. Firstly, our low-frequency element is at 3.06&#xa0;MHz. To perfectly image the brain, a system with a lower central frequency (for example, 1&#xa0;MHz) is needed. Because the skull-induced acoustic attenuation is frequency-dependent, the transcranial PA signal is centered at &#x223c; 0.75&#xa0;MHz (<xref ref-type="bibr" rid="B18">Na et&#x20;al., 2020</xref>). To see a more subtle vascular structure, a central frequency higher than 11.07&#xa0;MHz would be preferable (<xref ref-type="bibr" rid="B30">Xu and Wang, 2003</xref>). Second, when the radiation exposure reaches the ANSI limit, the signal to noise ratio increased by about three&#x20;times.</p>
<p>In this work, the advantages of the dual-frequency ultrasonic structure are preliminarily verified. The next step is to make an array for three-dimensional imaging. In addition, to obtain comprehensive structural information of the vascular networks by utilizing the ultra-wide bandwidth of the transducer, we can attach an acoustic lens to our dual-element transducer for focusing detection in photoacoustic microscopy (<xref ref-type="bibr" rid="B29">Xiao et&#x20;al., 2016</xref>).</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, a stack-layer dual-element transducer with 3.06&#xa0;MHz/11.07&#xa0;MHz central frequencies was designed and fabricated to improve the bandwidth coverage. The 3.06&#xa0;MHz low-frequency transducer element provides enhanced photoacoustic sensitivity, while the 11.07&#xa0;MHz high-frequency transducer element maintains excellent spatial resolutions for high-resolution imaging. This transducer was employed for highly sensitive detection and precise localization of rat brain vascular.</p>
<p>Compared with the conventional single-element transducer, this dual-element transducer acquired a broadband signal for complicated targets effectively. We tested our transducer with both phantom and animal experiments. We also demonstrated that the stack-layer dual-element transducer boosted the capability of the PAT system, enabled multiscale analysis of the vascular network in rat brains, and realized the evaluation of blood oxygen saturation with a multi-wavelength imaging scheme. The advantages of the dual-frequency ultrasonic structure are preliminarily verified. The next step is to make an array for three-dimensional imaging. Different from most existing methods for improving the bandwidth, this dual-element transducer features simplicity in implementation and can be easily adapted to most current PAT systems. Thus it has a great potential for vascular network visualization, small-animal whole-body imaging, and cancer detection.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the animal ethical committee of the Central South University of China.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>BW, JM, ZC, XL, and YC contributed to the conception and design of the study. XL, YC, and XS participated in the experiment. XL and YC processed the data. XL wrote the first draft of the manuscript. YC and ZC wrote sections of the manuscript. All authors contributed to manuscript revision and read and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>Funding was provided by the Department of Science and Technology of Hunan Province, High-tech Industry Science and Technology Innovation Leading Program (No. 2020SK 2003), Emergency Science and Technology Project of Hunan Province (No. 2020YJ004), Central South University, Innovation Driven Program team project (No. 2020CX004), Fundamental Research Funds for Central Universities of the Central South University (No. 2020zzts784), National Science Foundation of China (No. 61901021), Beijing Natural Science Foundation (No. 4182032), and Beihang University High-Performance Computing Platform.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We thank Prof. Jiaying Xiao at the department of Biomedical Engineering, School of Basic Medical Science, Central South University for providing part of the experimental devices and facilities.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aguirre</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Schwarz</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Garzorz</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Omar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Buehler</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Eyerich</surname>
<given-names>K.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Precision Assessment of Label-free Psoriasis Biomarkers with Ultra-broadband Optoacoustic Mesoscopy</article-title>. <source>Nat. Biomed. Eng.</source> <volume>1</volume>, <fpage>0068</fpage>. <pub-id pub-id-type="doi">10.1038/s41551-017-0068</pub-id> </citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Awasthi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Jain</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Kalva</surname>
<given-names>S. K.</given-names>
</name>
<name>
<surname>Pramanik</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Yalavarthy</surname>
<given-names>P. K.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Deep Neural Network-Based Sinogram Super-resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography</article-title>. <source>IEEE Trans. Ultrason. Ferroelect., Freq. Contr.</source> <volume>67</volume>, <fpage>2660</fpage>&#x2013;<lpage>2673</lpage>. <pub-id pub-id-type="doi">10.1109/tuffc.2020.2977210</pub-id> </citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Alloosh</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sturek</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>J.&#x20;X.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Highly Sensitive Lipid Detection and Localization in Atherosclerotic Plaque with a Dual&#x2010;frequency Intravascular Photoacoustic/ultrasound Catheter</article-title>. <source>Translational Biophotonics</source> <volume>2</volume>, <fpage>e202000004</fpage>. <pub-id pub-id-type="doi">10.1002/tbio.202000004</pub-id> </citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Haedicke</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Agemy</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Omar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Berezhnoi</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Roberts</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Longo-Machado</surname>
<given-names>C.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>High-resolution Optoacoustic Imaging of Tissue Responses to Vascular-Targeted Therapies</article-title>. <source>Nat. Biomed. Eng.</source> <volume>4</volume>, <fpage>286</fpage>&#x2013;<lpage>297</lpage>. <pub-id pub-id-type="doi">10.1038/s41551-020-0527-8</pub-id> </citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jo</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Sarazin</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Schiopu</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Gandikota</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Photoacoustic Tomography for Human Musculoskeletal Imaging and Inflammatory Arthritis Detection</article-title>. <source>Photoacoustics</source> <volume>12</volume>, <fpage>82</fpage>&#x2013;<lpage>89</lpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2018.07.004</pub-id> </citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ku</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2001</year>). <article-title>Scanning Microwave-Induced Thermoacoustic Tomography: Signal, Resolution, and Contrast</article-title>. <source>Med. Phys.</source> <volume>28</volume>, <fpage>4</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1118/1.1333409</pub-id> </citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ku</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Scanning Thermoacoustic Tomography in Biological Tissue</article-title>. <source>Med. Phys.</source> <volume>27</volume>, <fpage>1195</fpage>&#x2013;<lpage>1202</lpage>. <pub-id pub-id-type="doi">10.1118/1.598984</pub-id> </citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ku</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Stoica</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Multiple-bandwidth Photoacoustic Tomography</article-title>. <source>Phys. Med. Biol.</source> <volume>49</volume>, <fpage>1329</fpage>&#x2013;<lpage>1338</lpage>. <pub-id pub-id-type="doi">10.1088/0031-9155/49/7/018</pub-id> </citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Multiview hilbert Transformation for Full-View Photoacoustic Computed Tomography Using a Linear Array</article-title>. <source>J.&#x20;Biomed. Opt.</source> <volume>20</volume>, <fpage>066010</fpage>. <pub-id pub-id-type="doi">10.1117/1.JBO.20.6.066010</pub-id> </citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yao</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Photoacoustic Tomography of Blood Oxygenation: A Mini Review</article-title>. <source>Photoacoustics</source> <volume>10</volume>, <fpage>65</fpage>&#x2013;<lpage>73</lpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2018.05.001</pub-id> </citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Appleton</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Maslov</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Single-breath-hold Photoacoustic Computed Tomography of the Breast</article-title>. <source>Nat. Commun.</source> <volume>9</volume>, <fpage>2352</fpage>. <pub-id pub-id-type="doi">10.1038/s41467-018-04576-z</pub-id> </citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Single-shot Photoacoustic Microscopy of Hemoglobin Concentration, Oxygen Saturation, and Blood Flow in Sub-microseconds</article-title>. <source>Photoacoustics</source> <volume>17</volume>, <fpage>100156</fpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2019.100156</pub-id> </citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Luo</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Pang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Acoustic-resolution-based Photoacoustic Microscopy with Non-coaxial Arrangements and a Multiple Vertical Scan for High Lateral Resolution In-Depth</article-title>. <source>Appl. Opt.</source> <volume>58</volume>, <fpage>9305</fpage>&#x2013;<lpage>9309</lpage>. <pub-id pub-id-type="doi">10.1364/AO.58.009305</pub-id> </citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mallidi</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Luke</surname>
<given-names>G. P.</given-names>
</name>
<name>
<surname>Emelianov</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Photoacoustic Imaging in Cancer Detection, Diagnosis, and Treatment Guidance</article-title>. <source>Trends Biotechnol.</source> <volume>29</volume>, <fpage>213</fpage>&#x2013;<lpage>221</lpage>. <pub-id pub-id-type="doi">10.1016/j.tibtech.2011.01.006</pub-id> </citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mer&#x10d;ep</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>De&#xe1;n-Ben</surname>
<given-names>X. L.</given-names>
</name>
<name>
<surname>Razansky</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Imaging of Blood Flow and Oxygen State with a Multi-Segment Optoacoustic Ultrasound Array</article-title>. <source>Photoacoustics</source> <volume>10</volume>, <fpage>48</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2018.04.002</pub-id> </citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moore</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Bai</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Hariri</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Sanchez</surname>
<given-names>J.&#x20;B.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>C.-Y.</given-names>
</name>
<name>
<surname>Koka</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Photoacoustic Imaging for Monitoring Periodontal Health: A First Human Study</article-title>. <source>Photoacoustics</source> <volume>12</volume>, <fpage>67</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2018.10.005</pub-id> </citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Na</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Russin</surname>
<given-names>J.&#x20;J.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Jann</surname>
<given-names>K. B.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Massively Parallel Functional Photoacoustic Computed Tomography of the Human Brain</article-title>. <source>Nat. Biomed. Eng.</source>. <pub-id pub-id-type="doi">10.1038/s41551-021-00735-8</pub-id> </citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Na</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Isla</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Garrett</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Transcranial Photoacoustic Computed Tomography Based on a Layered Back-Projection Method</article-title>. <source>Photoacoustics</source> <volume>20</volume>, <fpage>100213</fpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2020.100213</pub-id> </citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oraevsky</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Clingman</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Zalev</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Stavros</surname>
<given-names>A. T.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>W. T.</given-names>
</name>
<name>
<surname>Parikh</surname>
<given-names>J.&#x20;R.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Clinical Optoacoustic Imaging Combined with Ultrasound for Coregistered Functional and Anatomical Mapping of Breast Tumors</article-title>. <source>Photoacoustics</source> <volume>12</volume>, <fpage>30</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2018.08.003</pub-id> </citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sappati</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Bhadra</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Piezoelectric Polymer and Paper Substrates: A Review</article-title>. <source>Sensors</source> <volume>18</volume>, <fpage>3605</fpage>. <pub-id pub-id-type="doi">10.3390/s18113605</pub-id> </citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shepelin</surname>
<given-names>N. A.</given-names>
</name>
<name>
<surname>Glushenkov</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Lussini</surname>
<given-names>V. C.</given-names>
</name>
<name>
<surname>Fox</surname>
<given-names>P. J.</given-names>
</name>
<name>
<surname>Dicinoski</surname>
<given-names>G. W.</given-names>
</name>
<name>
<surname>Shapter</surname>
<given-names>J.&#x20;G.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>New Developments in Composites, Copolymer Technologies and Processing Techniques for Flexible Fluoropolymer Piezoelectric Generators for Efficient Energy Harvesting</article-title>. <source>Energy Environ. Sci.</source> <volume>12</volume>, <fpage>1143</fpage>&#x2013;<lpage>1176</lpage>. <pub-id pub-id-type="doi">10.1039/c8ee03006e</pub-id> </citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Ye</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Xiao</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Approximate Back&#x2010;projection Method for Improving Lateral Resolution in Circular&#x2010;scanning&#x2010;based Photoacoustic Tomography</article-title>. <source>Med. Phys.</source> <volume>48</volume>, <fpage>3011</fpage>&#x2013;<lpage>3021</lpage>. <pub-id pub-id-type="doi">10.1002/mp.14880</pub-id> </citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Ye</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Xiao</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>
<italic>In-vivo</italic> Imaging of Melanoma with Simultaneous Dual-Wavelength Acoustic-Resolution-Based Photoacoustic/ultrasound Microscopy</article-title>. <source>Appl. Opt.</source> <volume>60</volume>, <fpage>3772</fpage>&#x2013;<lpage>3778</lpage>. <pub-id pub-id-type="doi">10.1364/AO.412609</pub-id> </citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Photoacoustic Tomography: <italic>In Vivo</italic> Imaging from Organelles to Organs</article-title>. <source>Science</source> <volume>335</volume>, <fpage>1458</fpage>&#x2013;<lpage>1462</lpage>. <pub-id pub-id-type="doi">10.1126/science.1216210</pub-id> </citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Prospects of Photoacoustic Tomography</article-title>. <source>Med. Phys.</source> <volume>35</volume>, <fpage>5758</fpage>&#x2013;<lpage>5767</lpage>. <pub-id pub-id-type="doi">10.1118/1.3013698</pub-id> </citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Pang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Ku</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Xie</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Stoica</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Noninvasive Laser-Induced Photoacoustic Tomography for Structural and Functional <italic>In Vivo</italic> Imaging of the Brain</article-title>. <source>Nat. Biotechnol.</source> <volume>21</volume>, <fpage>803</fpage>&#x2013;<lpage>806</lpage>. <pub-id pub-id-type="doi">10.1038/nbt839</pub-id> </citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Xie</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Ku</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
<name>
<surname>Stoica</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Noninvasive Imaging of Hemoglobin Concentration and Oxygenation in the Rat Brain Using High-Resolution Photoacoustic Tomography</article-title>. <source>J.&#x20;Biomed. Opt.</source> <volume>11</volume>, <fpage>024015</fpage>. <pub-id pub-id-type="doi">10.1117/1.2192804</pub-id> </citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wissmeyer</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Pleitez</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Rosenthal</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Ntziachristos</surname>
<given-names>V.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Looking at Sound: Optoacoustics with All-Optical Ultrasound Detection</article-title>. <source>Light Sci. Appl.</source> <volume>7</volume>, <fpage>53</fpage>. <pub-id pub-id-type="doi">10.1038/s41377-018-0036-7</pub-id> </citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiao</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Photoacoustic Endoscopy with Hollow Structured Lens-Focused Polyvinylidine Fluoride Transducer</article-title>. <source>Appl. Opt.</source> <volume>55</volume>, <fpage>2301</fpage>&#x2013;<lpage>2305</lpage>. <pub-id pub-id-type="doi">10.1364/AO.55.002301</pub-id> </citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Analytic Explanation of Spatial Resolution Related to Bandwidth and Detector Aperture Size in Thermoacoustic or Photoacoustic Reconstruction</article-title>. <source>Phys. Rev. E</source> <volume>67</volume>, <fpage>056605</fpage>. <pub-id pub-id-type="doi">10.1103/PhysRevE.67.056605</pub-id> </citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Universal Back-Projection Algorithm for Photoacoustic Computed Tomography</article-title>. <source>Phys. Rev. E</source> <volume>71</volume>, <fpage>016706</fpage>. <pub-id pub-id-type="doi">10.1103/PhysRevE.71.016706</pub-id> </citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Maurudis</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Gamelin</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Aguirre</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. V.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Photoacoustic Tomography of Small Animal Brain with a Curved Array Transducer</article-title>. <source>J.&#x20;Biomed. Opt.</source> <volume>14</volume>, <fpage>054007</fpage>. <pub-id pub-id-type="doi">10.1117/1.3227035</pub-id> </citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>High-resolution Deep Functional Imaging of the Whole Mouse Brain by Photoacoustic Computed Tomographyin Vivo</article-title>. <source>J.&#x20;Biophotonics</source> <volume>11</volume>, <fpage>e201700024</fpage>. <pub-id pub-id-type="doi">10.1002/jbio.201700024</pub-id> </citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Wei</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Photoacoustic Imaging of Microenvironmental Changes in Facial Cupping Therapy</article-title>. <source>Biomed. Opt. Express</source> <volume>11</volume>, <fpage>2394</fpage>&#x2013;<lpage>2401</lpage>. <pub-id pub-id-type="doi">10.1364/Boe.387985</pub-id> </citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname>
<given-names>Y. Y.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J.&#x20;B.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>C. B.</given-names>
</name>
<name>
<surname>Lai</surname>
<given-names>P. X.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L. D.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Single-shot Linear Dichroism Optical-Resolution Photoacoustic Microscopy</article-title>. <source>Photoacoustics</source> <volume>16</volume>, <fpage>100148</fpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2019.100148</pub-id> </citation>
</ref>
</ref-list>
</back>
</article>