PhotoacousticsPub Date : 2024-08-01DOI: 10.1016/j.pacs.2024.100636
Jonas J.M. Riksen , Sowmiya Chandramoorthi , Antonius F.W. Van der Steen , Gijs Van Soest
{"title":"Near-infrared multispectral photoacoustic analysis of lipids and intraplaque hemorrhage in human carotid artery atherosclerosis","authors":"Jonas J.M. Riksen , Sowmiya Chandramoorthi , Antonius F.W. Van der Steen , Gijs Van Soest","doi":"10.1016/j.pacs.2024.100636","DOIUrl":"10.1016/j.pacs.2024.100636","url":null,"abstract":"<div><p>Spectral photoacoustic imaging in combination with unmixing techniques may be applied to retrieve information about high-risk features present in atherosclerotic plaques, possibly providing prognostic insights into future stroke events. We present the photoacoustic spectral contrast found in 12 systematically scanned advanced atherosclerotic plaques in the near-infrared wavelength range (850–1250 nm). The main absorbers are lipid, water, and hemoglobin, with the highest photoacoustic intensities at the lipid’s second overtone at 1190 and 1210 nm. Linear unmixing resulted in visualizing regions with high lipid and hemoglobin absorption, corresponding to the histological presence of lipid and intraplaque hemorrhage. A non-negative matrix factorization approach reveals differences in lipid spectral contrast, providing potential insights into the vulnerability of atherosclerotic plaque. These results provide a reference for future, more complex, <em>in vivo</em> photoacoustic imaging of carotid artery atherosclerosis, potentially contributing to assessing the risk of future events and treatment decision.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100636"},"PeriodicalIF":7.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000533/pdfft?md5=fa47a7c8373980dde43bfcf8ce653a90&pid=1-s2.0-S2213597924000533-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-31DOI: 10.1016/j.pacs.2024.100637
L. Foglia , R. Mincigrucci , A.A. Maznev , G. Baldi , F. Capotondi , F. Caporaletti , R. Comin , D. De Angelis , R.A. Duncan , D. Fainozzi , G. Kurdi , J. Li , A. Martinelli , C. Masciovecchio , G. Monaco , A. Milloch , K.A. Nelson , C.A. Occhialini , M. Pancaldi , E. Pedersoli , F. Bencivenga
{"title":"Corrigendum to: “Extreme ultraviolet transient gratings: A tool for nanoscale photoacoustics” [Photoacoustics 29 (2023) 100453]","authors":"L. Foglia , R. Mincigrucci , A.A. Maznev , G. Baldi , F. Capotondi , F. Caporaletti , R. Comin , D. De Angelis , R.A. Duncan , D. Fainozzi , G. Kurdi , J. Li , A. Martinelli , C. Masciovecchio , G. Monaco , A. Milloch , K.A. Nelson , C.A. Occhialini , M. Pancaldi , E. Pedersoli , F. Bencivenga","doi":"10.1016/j.pacs.2024.100637","DOIUrl":"10.1016/j.pacs.2024.100637","url":null,"abstract":"","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"39 ","pages":"Article 100637"},"PeriodicalIF":7.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000545/pdfft?md5=da668155a741f63d73121edd0e5e77fb&pid=1-s2.0-S2213597924000545-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-30DOI: 10.1016/j.pacs.2024.100635
Huaiyu Mei , Gaoxuan Wang , Yinghe Xu , Haijie He , Jun Yao , Sailing He
{"title":"Simultaneous measurement of methane, propane and isobutane using a compact mid-infrared photoacoustic spectrophone","authors":"Huaiyu Mei , Gaoxuan Wang , Yinghe Xu , Haijie He , Jun Yao , Sailing He","doi":"10.1016/j.pacs.2024.100635","DOIUrl":"10.1016/j.pacs.2024.100635","url":null,"abstract":"<div><p>Hydrocarbon gas sensing is a challenging task using laser absorption spectroscopy due to the complex and broad structure of absorption lines. This application requires quick, accurate and highly sensitive detection of hydrocarbon gases concentrations. In this paper, a compact photoacoustic spectrophone was developed to simultaneously measure methane, propane and isobutane. This spectrophone uses wavelength modulation spectroscopy (WMS) with a single acoustic resonator and a single DFB laser emitting at 3368 nm, which greatly reduces the system complexity without using time-division multiplexing technology for multi-gas sensing. Due to the complex and broadband absorption of hydrocarbon gases, a novel signal processing method based on multilinear regression with Ridge regression (MLR-RG) is proposed to reduce the measurement error caused by the nonlinearity of spectra signal. For single gas measurement, the detection limits of methane, propane, and isobutane are determined to be 828 ppb, 419 ppb, and 619 ppb (SNR <span><math><mo>=</mo></math></span> 1, integration time <span><math><mo>=</mo></math></span> 20 s), respectively. For simultaneous multi-gas sensing in a gaseous mixture, the detection limits of propane and isobutane are determined to be 7 ppb, 68 ppb with an integration time of 860 s, 460 s, respectively. The measurement accuracy of propane and isobutane using MLR-RG is higher than that of ordinary least squares regression and partial least squares regression by 75% and 60%, respectively. The proposed algorithm based on MLR-RG provides a promising approach to process the broad overlapping absorption spectra for accurately retrieving hydrocarbon gases concentrations.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"39 ","pages":"Article 100635"},"PeriodicalIF":7.1,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000521/pdfft?md5=e951b6daa845250160412ddb3ac51cdd&pid=1-s2.0-S2213597924000521-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-10DOI: 10.1016/j.pacs.2024.100633
Mengpeng Hu , Dongqing Zhang , Hui Zhang , Yu Liu , Weibiao Wang , Qiang Wang
{"title":"Harmonic phase-sensitive detection for quartz-enhanced photoacoustic-thermoelastic spectroscopy","authors":"Mengpeng Hu , Dongqing Zhang , Hui Zhang , Yu Liu , Weibiao Wang , Qiang Wang","doi":"10.1016/j.pacs.2024.100633","DOIUrl":"10.1016/j.pacs.2024.100633","url":null,"abstract":"<div><p>Quartz tuning fork (QTF)-based techniques of photoacoustic spectroscopy and thermoelastic spectroscopy play a significant role in trace gas sensing due to unique high sensitivity and compactness. However, the stability of both techniques remains plagued by the inevitable and unpredictable laser power variation and demodulation phase variation. Herein, we investigate the phase change of a QTF when integrating both techniques for enhanced gas sensing. By demonstrating harmonic phase-sensitive methane detection as an example, we achieve stable gas measurement at varying laser power (2.4–9.4 mW) and varying demodulation phase (−90–90°). Besides, this method shows more tolerance to resonant frequency drift, contributing to a small signal fluctuation of ≤ 6.4 % over a wide modulation range (>10 times of the QTF bandwidth). The realization of harmonic-phase detection allows strengthening the stability of QTF-based sensors in a simple manner, especially when stable parameters, such as laser power, demodulation phase, even resonant frequency, cannot always be maintained.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100633"},"PeriodicalIF":7.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000508/pdfft?md5=ffde7522b28f0260504dcaef4f69cfaa&pid=1-s2.0-S2213597924000508-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-09DOI: 10.1016/j.pacs.2024.100634
Chu Zhang, Ying He, Shunda Qiao, Yahui Liu, Yufei Ma
{"title":"High-sensitivity trace gas detection based on differential Helmholtz photoacoustic cell with dense spot pattern","authors":"Chu Zhang, Ying He, Shunda Qiao, Yahui Liu, Yufei Ma","doi":"10.1016/j.pacs.2024.100634","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100634","url":null,"abstract":"<div><p>A high-sensitivity photoacoustic spectroscopy (PAS) sensor based on differential Helmholtz photoacoustic cell (DHPAC) with dense spot pattern is reported in this paper for the first time. A multi-pass cell based on two concave mirrors was designed to achieve a dense spot pattern, which realized 212 times excitation of incident laser. A finite element analysis was utilized to simulate the sound field distribution and frequency response of the designed DHPAC. An erbium-doped fiber amplifier (EDFA) was employed to amplify the output optical power of the laser to achieve strong excitation. In order to assess the designed sensor's performance, an acetylene (C<sub>2</sub>H<sub>2</sub>) detection system was established using a near infrared diode laser with a central wavelength 1530.3 nm. According to experimental results, the differential characteristics of DHPAC was verified. Compared to the sensor without dense spot pattern, the photoacoustic signal with dense spot pattern had a 44.73 times improvement. The minimum detection limit (MDL) of the designed C<sub>2</sub>H<sub>2</sub>-PAS sensor can be improved to 5 ppb when the average time of the sensor system is 200 s.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100634"},"PeriodicalIF":7.1,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221359792400051X/pdfft?md5=c472b4d3cf77e9506db1ab5606b3d76c&pid=1-s2.0-S221359792400051X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-05DOI: 10.1016/j.pacs.2024.100632
Xiaobin Hong , Furong Tang , Lidai Wang , Jiangbo Chen
{"title":"Unsupervised deep learning enables real-time image registration of fast-scanning optical-resolution photoacoustic microscopy","authors":"Xiaobin Hong , Furong Tang , Lidai Wang , Jiangbo Chen","doi":"10.1016/j.pacs.2024.100632","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100632","url":null,"abstract":"<div><p>A fast scanner of optical-resolution photoacoustic microscopy is inherently vulnerable to perturbation, leading to severe image distortion and significant misalignment among multiple 2D or 3D images. Restoration and registration of these images is critical for accurately quantifying dynamic information in long-term imaging. However, traditional registration algorithms face a great challenge in computational throughput. Here, we develop an unsupervised deep learning based registration network to achieve real-time image restoration and registration. This method can correct artifacts from B-scan distortion and remove misalignment among adjacent and repetitive images in real time. Compared with conventional intensity based registration algorithms, the throughput of the developed algorithm is improved by 50 times. After training, the new deep learning method performs better than conventional feature based image registration algorithms. The results show that the proposed method can accurately restore and register the images of fast-scanning photoacoustic microscopy in real time, offering a powerful tool to extract dynamic vascular structural and functional information.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100632"},"PeriodicalIF":7.1,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000491/pdfft?md5=e6516bd7a7efc746e98722f5b7f2867a&pid=1-s2.0-S2213597924000491-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-07-01DOI: 10.1016/j.pacs.2024.100631
Ning Ding , Huiwen Jiang , Ben Xiang , Yao Yu , Cheng Ji , Jian Liu , Yuqian Zhao , Jingmin Luan , Yanqiu Yang , Yi Wang , Zhenhe Ma
{"title":"Probe fusion all-optic OCT-PAM dual-mode imaging system for biomedical imaging","authors":"Ning Ding , Huiwen Jiang , Ben Xiang , Yao Yu , Cheng Ji , Jian Liu , Yuqian Zhao , Jingmin Luan , Yanqiu Yang , Yi Wang , Zhenhe Ma","doi":"10.1016/j.pacs.2024.100631","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100631","url":null,"abstract":"<div><p>We proposed a non-contact photoacoustic (PA) detection method using spectral domain optical coherence tomography (SDOCT). Two interference spectrums (A-lines) were acquired before and after the PA excitation with SDOCT. PA signal propagated within the sample causing the vibration. The vibration inner the sample introduced phase change between the acquired two A-lines. Thus, the PA signal can be detected by evaluating the difference in phase between the two A-lines. Based on the method, an OCT-PAM dual-mode imaging system was constructed. In the system, SDOCT served as the detection unit for PAM. Thus, the combination of the two imaging modalities was simplified. Another advantage of the system is that it realizes non-contact all-optic detection, which is attractive for biomedical imaging. Using the system, we imaged phantoms of carbon fibers, asparagus leaves and human hairs. Furthermore, the cortical vasculature of rat was imaged <em>in vivo</em> and the flow status was evaluated quantitatively.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100631"},"PeriodicalIF":7.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221359792400048X/pdfft?md5=a7e50712e087130120a606c8951882fd&pid=1-s2.0-S221359792400048X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-06-30DOI: 10.1016/j.pacs.2024.100628
Shan Huang , Hailong He , Robby Zachariah Tom , Sarah Glasl , Pia Anzenhofer , Andre C. Stiel , Susanna M. Hofmann , Vasilis Ntziachristos
{"title":"Non-invasive optoacoustic imaging of dermal microcirculatory revascularization in diet-induced obese mice undergoing exercise intervention","authors":"Shan Huang , Hailong He , Robby Zachariah Tom , Sarah Glasl , Pia Anzenhofer , Andre C. Stiel , Susanna M. Hofmann , Vasilis Ntziachristos","doi":"10.1016/j.pacs.2024.100628","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100628","url":null,"abstract":"<div><p>Microcirculatory dysfunction has been observed in the dermal white adipose tissue (dWAT) and subcutaneous white adipose tissue (scWAT) of obese humans and has been proposed as an early prediction marker for cardio-metabolic disease progression. <em>In-vivo</em> visualization and longitudinal monitoring of microvascular remodeling in these tissues remains challenging. We compare the performance of two optoacoustic imaging methods, i.e. multi-spectral optoacoustic tomography (MSOT) and raster-scanning optoacoustic mesoscopy (RSOM) in visualizing lipid and hemoglobin contrast in scWAT and dWAT in a mouse model of diet-induced obesity (DIO) undergoing voluntary wheel running intervention for 32 weeks. MSOT visualized lipid and hemoglobin contrast in murine fat depots in a quantitative manner even at early stages of DIO. We show for the first time to our knowledge that RSOM allows precise visualization of the dWAT microvasculature and provides quantitative readouts of skin layer thickness and vascular density in dWAT and dermis. Combination of MSOT and RSOM resolved exercise-induced morphological changes in microvasculature density, tissue oxygen saturation, lipid and blood volume content in dWAT and scWAT. The combination of MSOT and RSOM may allow precise monitoring of microcirculatory dysfunction and intervention response in dWAT and scWAT in a mouse model for DIO. Our findings have laid out the foundation for future clinical studies using optoacoustic-derived vascular readouts from adipose tissues as a biomarker for monitoring microcirculatory function in metabolic disease.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100628"},"PeriodicalIF":7.1,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000454/pdfft?md5=a6c16dd1f34badab58fd3a932b351336&pid=1-s2.0-S2213597924000454-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-06-28DOI: 10.1016/j.pacs.2024.100629
Lihao Wang , Haohua Lv , Yaohong Zhao , Chenglong Wang , Huijian Luo , Haoyang Lin , Jiabao Xie , Wenguo Zhu , Yongchun Zhong , Bin Liu , Jianhui Yu , Huadan Zheng
{"title":"Sub-ppb level HCN photoacoustic sensor employing dual-tube resonator enhanced clamp-type tuning fork and U-net neural network noise filter","authors":"Lihao Wang , Haohua Lv , Yaohong Zhao , Chenglong Wang , Huijian Luo , Haoyang Lin , Jiabao Xie , Wenguo Zhu , Yongchun Zhong , Bin Liu , Jianhui Yu , Huadan Zheng","doi":"10.1016/j.pacs.2024.100629","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100629","url":null,"abstract":"<div><p>Hydrogen cyanide (HCN) is a toxic industrial chemical, necessitating low-level detection capabilities for safety and environmental monitoring. This study introduces a novel approach for detecting hydrogen cyanide (HCN) using a clamp-type custom quartz tuning fork (QTF) integrated with a dual-tube acoustic micro-resonator (AmR) for enhanced photoacoustic gas sensing. The design and optimization of the AmR geometry were guided by theoretical simulation and experimental validation, resulting in a robust on-beam QEPAS (Quartz-Enhanced Photoacoustic Spectroscopy) configuration. To boost the QEPAS sensitivity, an Erbium-Doped Fiber Amplifier (EDFA) was incorporated, amplifying the laser power by approximately 286 times. Additionally, a transformer-based U-shaped neural network, a machine learning filter, was employed to refine the photoacoustic signal and reduce background noise effectively. This combination yielded a significantly low detection limit for HCN at 0.89 parts per billion (ppb) with a rapid response time of 1 second, marking a substantial advancement in optical gas sensing technologies. Key modifications to the QTF and innovative use of AmR lengths were validated under various experimental conditions, affirming the system's capabilities for real-time, high-sensitivity environmental monitoring and industrial safety applications. This work not only demonstrates significant enhancements in QEPAS but also highlights the potential for further technological advancements in portable gas detection systems.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100629"},"PeriodicalIF":7.1,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000466/pdfft?md5=7447184dd1835ff1e113dda90d296b03&pid=1-s2.0-S2213597924000466-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2024-06-25DOI: 10.1016/j.pacs.2024.100630
Shuaihu Wang , Bingxin Huang , Simon C.K. Chan , Victor T.C. Tsang , Terence T.W. Wong
{"title":"Tri-modality in vivo imaging for tumor detection with combined ultrasound, photoacoustic, and photoacoustic elastography","authors":"Shuaihu Wang , Bingxin Huang , Simon C.K. Chan , Victor T.C. Tsang , Terence T.W. Wong","doi":"10.1016/j.pacs.2024.100630","DOIUrl":"https://doi.org/10.1016/j.pacs.2024.100630","url":null,"abstract":"<div><p>A comprehensive understanding of a tumor is required for accurate diagnosis and effective treatment. However, currently, there is no single imaging modality that can provide sufficient information. Photoacoustic (PA) imaging is a hybrid imaging technique with high spatial resolution and detection sensitivity, which can be combined with ultrasound (US) imaging to provide both optical and acoustic contrast. Elastography can noninvasively map the elasticity distribution of biological tissue, which reflects pathological conditions. In this study, we incorporated PA elastography into a commercial US/PA imaging system to develop a tri-modality imaging system, which has been tested for tumor detection using four mice with different physiological conditions. The results show that this tri-modality imaging system can provide complementary information on acoustic, optical, and mechanical properties. The enabled visualization and dimension estimation of tumors can lead to a more comprehensive tissue characterization for diagnosis and treatment.</p></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"38 ","pages":"Article 100630"},"PeriodicalIF":7.1,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213597924000478/pdfft?md5=8353b1647742fc669e80b9b350dfb7ec&pid=1-s2.0-S2213597924000478-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}