PhotoacousticsPub Date : 2025-04-10DOI: 10.1016/j.pacs.2025.100724
Ujjal Mandal , Navroop Singh , Kartikay Singh , Vinit Nana Hagone , Jagpreet Singh , Anshu S. Anand , Ben T. Cox , Ratan K. Saha
{"title":"Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes","authors":"Ujjal Mandal , Navroop Singh , Kartikay Singh , Vinit Nana Hagone , Jagpreet Singh , Anshu S. Anand , Ben T. Cox , Ratan K. Saha","doi":"10.1016/j.pacs.2025.100724","DOIUrl":"10.1016/j.pacs.2025.100724","url":null,"abstract":"<div><div>Numerical implementation of the Born series procedure is a computationally expensive task. Various computational strategies have been adopted and tested in this work for fast execution of the convergent Born series (CBS) algorithm for solving inhomogeneous Helmholtz equation in the context of biomedical photoacoustics (PAs). The PA field estimated by the CBS method for a solid circular disk approximating a red blood cell exhibits excellent agreement with the analytical result. It is observed that PA pressure map for a collection of red blood cells (mimicking blood) retains the signature of multiple scattering of acoustic waves by the acoustically inhomogeneous PA sources. The developed numerical tool realizing the CBS algorithm compatible with systems having multiple graphics processing units can be utilized further for accurate and fast estimation of the PA field for large tissue media.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100724"},"PeriodicalIF":7.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-04DOI: 10.1016/j.pacs.2025.100722
Mengtao Han , Zhiwei Xue , Mengchen Yu , Nanlin You , Yaguang Ren , Zhiqiang Xu , Zhifeng Wu , Yiming He , Zonghai Sheng , Chengbo Liu , Donghai Wang , Jingqin Chen
{"title":"Rapid synergistic thrombolysis of ischemic stroke guided by high-resolution and high-speed photoacoustic cerebrovascular imaging","authors":"Mengtao Han , Zhiwei Xue , Mengchen Yu , Nanlin You , Yaguang Ren , Zhiqiang Xu , Zhifeng Wu , Yiming He , Zonghai Sheng , Chengbo Liu , Donghai Wang , Jingqin Chen","doi":"10.1016/j.pacs.2025.100722","DOIUrl":"10.1016/j.pacs.2025.100722","url":null,"abstract":"<div><div>Thrombosis is the major cause of ischemic stroke and poses a serious health burden globally. Current thrombolytic strategies, such as systematic administration of recombinant human tissue plasminogen activator (rt-PA), are challenged by limited thrombolysis efficiency due to low targeting ability and a short plasma half-life. Here, we report a rapid synergistic strategy that integrates sonothrombolysis and rt-PA mediated pharmacological thrombolysis to achieve accurate and efficient treatment of ischemic stroke. The strategy (PLPA@PFP) uses a platelet-biomimetic membrane as a carrier to deliver both perfluoropentane (PFP) and rt-PA, prolonging half-life and effectively accumulating at the thrombus within 0.5 hours. Upon exposure to focused ultrasound, PFP-based cavitation effects significantly enhance thrombus breakdown and rt-PA penetration, enabling synergistic sono/pharmacological thrombolysis both <em>in vitro</em> and <em>in vivo</em>. High-resolution photoacoustic (PA) imaging provides direct assessment of vascular reperfusion following therapeutic intervention in a murine model of ischemic stroke, offering important guidance for clinical treatment.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100722"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Photoacoustic microscopy for studying mechano-transduction response in resistance vessels","authors":"Juliana Benavides-Lara , Dianicha Santana Nunez , Mohsin Zafar , Janette Garcia Campos , Shuangping Zhao , Yulia A. Komarova , Kamran Avanaki","doi":"10.1016/j.pacs.2025.100713","DOIUrl":"10.1016/j.pacs.2025.100713","url":null,"abstract":"<div><div>Cardiovascular diseases are on the rise, presenting a significant global health challenge. The development of methods enabling the detection of alterations in vascular networks is critical for the early diagnosis and treatment of cardiovascular diseases, including peripheral arterial disease, stroke, and hypertension. Here, we use photoacoustic microscopy (PAM), a non-invasive imaging technique, to monitor morphological changes within the skin vessels of chronically hypertensive mice deficient in the mechanosensitive channel Piezo1 in endothelial cells (Piezo1 EC-KO). We show that, compared to control mice (Piezo1 flox/flox), Piezo1 EC-KO mice are characterized by poorer tissue perfusion due to a vasoconstriction of resistance arterioles. We also show the effect of administration of pharmacological agents on vessel vasodilation in the skin of Piezo1-deficient mice and control mice, identifying quantitative differences between the two groups. These results advance our understanding of vascular mechanodynamics and offer potential implications for developing targeted treatments for hypertensive disorders.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100713"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-04DOI: 10.1016/j.pacs.2025.100714
Wende Dong , Yanli Zhang , Luqi Hu , Songde Liu , Chao Tian
{"title":"Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network","authors":"Wende Dong , Yanli Zhang , Luqi Hu , Songde Liu , Chao Tian","doi":"10.1016/j.pacs.2025.100714","DOIUrl":"10.1016/j.pacs.2025.100714","url":null,"abstract":"<div><div>Ring-Array photoacoustic tomography (PAT) systems have shown great promise in non-invasive biomedical imaging. However, images produced by these systems often suffer from quality degradation due to non-ideal imaging conditions, with common issues including blurring and streak artifacts. To address these challenges, we propose an image restoration method based on a conditional generative adversarial network (CGAN) framework. Our approach integrates a hybrid spatial and channel attention mechanism within a Residual Shifted Window Transformer Module (RSTM) to enhance the generator’s performance. Additionally, we have developed a comprehensive loss function to balance pixel-level accuracy, detail preservation, and perceptual quality. We further incorporate a gamma correction module to enhance the contrast of the network’s output. Experimental results on both simulated and in vivo data demonstrate that our method significantly improves resolution and restores overall image quality.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100714"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-01DOI: 10.1016/j.pacs.2025.100721
Jie Zhou , Mengchuan Ou , Bo Yuan , Binzi Yan , Xichuan Wang , Shuaiqi Qiao , Yijie Huang , Lian Feng , Lin Huang , Yan Luo
{"title":"Dual-modality ultrasound/photoacoustic tomography for mapping tissue oxygen saturation distribution in intestinal strangulation","authors":"Jie Zhou , Mengchuan Ou , Bo Yuan , Binzi Yan , Xichuan Wang , Shuaiqi Qiao , Yijie Huang , Lian Feng , Lin Huang , Yan Luo","doi":"10.1016/j.pacs.2025.100721","DOIUrl":"10.1016/j.pacs.2025.100721","url":null,"abstract":"<div><div>The strangulation of intestinal obstruction (IO) presents challenges in the assessment of disease progression and surgical decision-making. Intraoperatively, an accurate evaluation of the status of the IO is critical for determining the extent of surgical resection. Dual-modality ultrasound/photoacoustic tomography (US/PAT) imaging has the potential to provide spatially resolved tissue oxygen saturation (SO₂), serving as a valuable marker for IO diagnosis. In this study, US/PAT was utilized for imaging rat models of IO, with the data used for reconstruction, statistical analysis, and distribution evaluation. Results showed that SO₂ decreased with increasing strangulation severity. Notably, the kurtosis and skewness of the SO₂ distribution outperformed SO₂ itself in diagnosis, as they more effectively capture the heterogeneity of SO₂ distribution. Kurtosis reflects distribution concentration, while skewness measures asymmetry, both achieving areas under the receiver operating characteristic curve (AUROC) of 0.969. In conclusion, US/PAT offers a rapid and convenient method for assessing strangulation in IO.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100721"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786285","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 : 2025-04-01DOI: 10.1016/j.pacs.2025.100720
Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li
{"title":"High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network","authors":"Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li","doi":"10.1016/j.pacs.2025.100720","DOIUrl":"10.1016/j.pacs.2025.100720","url":null,"abstract":"<div><div>Photoacoustic imaging is a powerful technique that provides high-resolution, deep tissue imaging. However, the time-intensive nature of photoacoustic microscopy (PAM) poses a significant challenge, especially when high-resolution images are required for real-time applications. In this study, we proposed an optimized Fast Residual Dense Generative Adversarial Network (FRDGAN) for high-quality PAM reconstruction. Through dataset validation on mouse ear vasculature, FRDGAN demonstrated superior performance in image quality, background noise suppression, and computational efficiency across multiple down-sampling scales (×4, ×8) compared to classical methods. Furthermore, in the in vivo experiments of mouse cerebral vasculature, FRDGAN achieves the improvement of 2.24 dB and 0.0255 in peak signal-to-noise ratio and structural similarity metrics in contrast to SRGAN, respectively. Our FRDGAN method provides a promising solution for fast, high-quality PAM microvascular imaging in biomedical research.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100720"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783528","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 : 2025-04-01DOI: 10.1016/j.pacs.2025.100704
Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong
{"title":"Corrigendum to “Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork” [Photoacoustics 42 (2025) 100691]","authors":"Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong","doi":"10.1016/j.pacs.2025.100704","DOIUrl":"10.1016/j.pacs.2025.100704","url":null,"abstract":"","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100704"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-03-29DOI: 10.1016/j.pacs.2025.100718
Lukas Escher , Thomas Rück , Simon Jobst , Jonas Pangerl , Rudolf Bierl , Frank-Michael Matysik
{"title":"Photodissociation-driven photoacoustic spectroscopy with UV-LEDs for ozone detection","authors":"Lukas Escher , Thomas Rück , Simon Jobst , Jonas Pangerl , Rudolf Bierl , Frank-Michael Matysik","doi":"10.1016/j.pacs.2025.100718","DOIUrl":"10.1016/j.pacs.2025.100718","url":null,"abstract":"<div><div>This study presents the development and evaluation of a UV-LED based photoacoustic (PA) measurement system for ozone (O<sub>3</sub>) detection to demonstrate its potential for low-cost and accurate sensing while for the first time addressing the importance of photodissociation for PA signal generation for O<sub>3</sub> in the UV range. With a detection limit of 7.9 ppbV, the system exhibits a significant advancement over state-of-the-art UV-PA O<sub>3</sub> detection and is on par with laser-based setups. Following a novel discussion of the PA signal arising from photodissociation and its products, cross-sensitivity effects due to environmental factors such as temperature and gas composition were systematically analyzed. A digital twin driven compensation for these influences was implemented and evaluated. Despite the challenges associated with modeling the effects of H<sub>2</sub>O and CO<sub>2</sub>, the PA system shows considerable potential, though further studies in real world applications must be conducted.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100718"},"PeriodicalIF":7.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759083","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 : 2025-03-29DOI: 10.1016/j.pacs.2025.100719
Rong Zhou , Liying Zhang , Beibei Li , Jingtao Xiao , Yiheng Xing , Chang Chen , Yuecheng Shen , Hao Shen , Deng Pan , Hongxing Xu
{"title":"Harnessing evanescent photoacoustic waves for multi-domain imaging","authors":"Rong Zhou , Liying Zhang , Beibei Li , Jingtao Xiao , Yiheng Xing , Chang Chen , Yuecheng Shen , Hao Shen , Deng Pan , Hongxing Xu","doi":"10.1016/j.pacs.2025.100719","DOIUrl":"10.1016/j.pacs.2025.100719","url":null,"abstract":"<div><div>Photoacoustic microscopy (PAM) offers a non-invasive imaging method that overcomes the limitations of light scattering in biological tissues by visualizing optical contrast through the detection of photo-generated acoustic signals. While optical microscopy has significantly advanced through the exploration of optical evanescent waves, the potential of evanescent photoacoustic (PA) waves in PAM remains largely unexplored. In this work, we demonstrate the generation and detection of evanescent PA waves in PAM by positioning the sample near an interface, which directs these waves into the far-field beyond the supercritical angle (SA). These SA-PA signals exhibit distinct characteristics, including dependence of intensity on the source depths and symmetry in far-field angular patterns. Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. This approach highlights the role of acoustic near-field exploration in advancing PA technology.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100719"},"PeriodicalIF":7.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786122","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 : 2025-03-28DOI: 10.1016/j.pacs.2025.100715
Yuhui Liu , Yue Qi , Yangjian Cai , Xiaoyi Bao , Song Gao
{"title":"Recent advances in optical fiber-based gas sensors utilizing light-induced acoustic/elastic techniques","authors":"Yuhui Liu , Yue Qi , Yangjian Cai , Xiaoyi Bao , Song Gao","doi":"10.1016/j.pacs.2025.100715","DOIUrl":"10.1016/j.pacs.2025.100715","url":null,"abstract":"<div><div>Gas sensing detects gas properties, such as physical, molecular, optical, thermodynamic, and dynamic properties. Light-induced acoustic techniques include monitoring the optical and physical properties of the gas. Fiber-based gas sensing is important because it offers several unique advantages compared to traditional gas sensing technologies, such as high sensitivity and accuracy, a compact and lightweight design, remote sensing capabilities, multiplexing, and distributed sensing. We review the recent developments in optical fiber-based gas sensors utilizing light-induced acoustic/elastic techniques based on photoacoustic spectroscopy, Brillouin scattering, and light-induced thermoelastic spectroscopy (LITES).</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100715"},"PeriodicalIF":7.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738423","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}