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Classification and risk assessment of ovarian-adnexal lesions using parametric and radiomic analysis of co-registered ultrasound-photoacoustic tomographic images 超声-光声断层扫描图像的参数化和放射学分析对卵巢-附件病变的分类和风险评估。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100675
Yixiao Lin , Quing Zhu
Ovarian-adnexal lesions are conventionally assessed with ultrasound (US) under the guidance of the Ovarian-Adnexal Reporting and Data System (O-RADS). However, the low specificity of O-RADS results in many unnecessary surgeries. Here, we use co-registered US and photoacoustic tomography (PAT) to improve the diagnostic accuracy of O-RADS. Physics-based parametric algorithms for US and PAT were developed to estimate the acoustic and photoacoustic properties of 93 ovarian lesions. Additionally, statistics-based radiomic algorithms were applied to quantify differences in the lesion texture on US-PAT images. A machine learning model (US-PAT KNN model) was developed based on an optimized subset of eight US and PAT imaging features to classify a lesion as either cancer, one of four subtypes of benign lesions, or a normal ovary. The model achieved an area under the receiver operating characteristic curve (AUC) of 0.969 and a balanced six-class classification accuracy of 86.0 %.
卵巢-附件病变通常在卵巢-附件报告和数据系统(O-RADS)的指导下用超声(US)评估。然而,O-RADS的低特异性导致了许多不必要的手术。在这里,我们使用联合注册的US和光声断层扫描(PAT)来提高O-RADS的诊断准确性。我们开发了基于物理的US和PAT参数算法来估计93个卵巢病变的声学和光声学特性。此外,应用基于统计学的放射学算法量化US-PAT图像上病变纹理的差异。基于八个US和PAT成像特征的优化子集,开发了一个机器学习模型(US-PAT KNN模型),将病变分类为癌症、四种良性病变亚型之一或正常卵巢。该模型的受试者工作特征曲线下面积(AUC)为0.969,平衡六类分类准确率为86.0 %。
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引用次数: 0
MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data MSD-Net:用于稀疏数据光声图像重建的多尺度密集卷积神经网络。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100679
Liangjie Wang , Yi-Chao Meng , Yiming Qian
Photoacoustic imaging (PAI) is an emerging hybrid imaging technology that combines the advantages of optical and ultrasound imaging. Despite its excellent imaging capabilities, PAI still faces numerous challenges in clinical applications, particularly sparse spatial sampling and limited view detection. These limitations often result in severe streak artifacts and blurring when using standard methods to reconstruct images from incomplete data. In this work, we propose an improved convolutional neural network (CNN) architecture, called multi-scale dense UNet (MSD-Net), to correct artifacts in 2D photoacoustic tomography (PAT). MSD-Net exploits the advantages of multi-scale information fusion and dense connections to improve the performance of CNN. Experimental validation with both simulated and in vivo datasets demonstrates that our method achieves better reconstructions with improved speed.
光声成像(PAI)是一种新兴的混合成像技术,它结合了光学和超声成像的优点。尽管PAI具有出色的成像能力,但在临床应用中仍面临许多挑战,特别是空间采样稀疏和视野检测受限。当使用标准方法从不完整的数据中重建图像时,这些限制通常会导致严重的条纹伪影和模糊。在这项工作中,我们提出了一种改进的卷积神经网络(CNN)架构,称为多尺度密集UNet (MSD-Net),以纠正二维光声断层扫描(PAT)中的伪影。MSD-Net利用多尺度信息融合和密集连接的优势来提高CNN的性能。模拟和体内数据集的实验验证表明,我们的方法可以实现更好的重建,并且速度更快。
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引用次数: 0
Improved T-shaped quartz tuning fork with isosceles-trapezoidal grooves optimized for quartz-enhanced photoacoustic spectroscopy 改进的t形石英音叉与等腰梯形凹槽优化石英增强光声光谱。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100672
Feihu Fang , Runqiu Wang , Dongfang Shao , Yi Wang , Yilü Tao , Shengshou Lin , Yufei Ma , Jinxing Liang
The quartz tuning fork (QTF) being the acoustic-electrical conversion element for quartz-enhanced photoacoustic spectroscopy (QEPAS) system directly affects the detection sensitivity. However, the low electromechanical conversion efficiency characteristic of standard QTF limits the further enhancement of the system. Therefore, the optimized design for QTF is becoming an important approach to improve the performance of QEPAS. In this work, 9 kHz T-shaped QTFs with isosceles-trapezoidal grooves are firstly applied to gas sensing experiments. Four types of 9 kHz QTFs are fabricated and applied to gas detection experiments. Simulation results reveal QTFs with isosceles-trapezoidal grooves are conducive to optimizing the stress distribution and enhancing electromechanical conversion efficiency. The results of the gas sensing experiment (acetylene C2H2) indicate that the signal peak and signal-to-noise ratio values of T-shaped QTF with positive isosceles-trapezoidal grooves can reach 1.44 and 1.85 times greater than the normal QTF with rectangular cross-section prongs.
石英音叉(QTF)作为石英增强光声光谱(QEPAS)系统的声电转换元件,直接影响探测灵敏度。然而,标准QTF的机电转换效率低的特点限制了系统的进一步增强。因此,QTF的优化设计成为提高QEPAS性能的重要途径。本文首次将9个 kHz t型等腰梯形槽qtf应用于气敏实验。制作了4种类型的9 kHz qtf,并应用于气体检测实验。仿真结果表明,等腰梯形槽的qtf有利于优化应力分布,提高机电转换效率。气感实验(乙炔C2H2)结果表明,带正等腰梯形凹槽的t型QTF的信号峰值和信噪比分别是带矩形截面尖头的普通QTF的1.44倍和1.85倍。
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引用次数: 0
Compact and full-range carbon dioxide sensor using photoacoustic and resonance dependent modes 紧凑和全范围二氧化碳传感器使用光声和共振依赖模式。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100669
Yifan Li , Lixian Liu , Liang Zhao , Xueshi Zhang , Le Zhang , Jialiang Sun , Huiting Huan , Yize Liang , Jiyong Zhang , Xiaopeng Shao , Andreas Mandelis , Roberto Li Voti
A compact and robust optical excitation photoacoustic sensor with a self-integrated laser module excitation and an optimized differential resonator was developed to achieve high sensitivity and full linear range detection of carbon dioxide (CO2) based on dual modes of wavelength modulated photoacoustic spectroscopy (WMPAS) and resonant frequency tracking (RFT). The integrated laser module equipped with three lasers (a quantum cascade laser (QCL), a distributed feedback laser (DFB) and a He-Ne laser) working in a time-division multiplexing mode was used as an integrated set of spectroscopic sources for detection of the designated concentration levels of CO2. With the absorption photoacoustic mode, the WMPAS detection with the QCL and DFB sources was capable of CO2 detection at concentrations below 20 %, yielding a noise equivalent concentration (NEC) as low as 240 ppt and a normalized noise equivalent absorption coefficient (NNEA) of 4.755 × 10−10 W cm−1/√Hz, and dynamic range as great as 11 orders of magnitude. Higher concentration detection ranges (20 %-100 %) of CO2 were investigated using the RFT mode with an amplitude-stabilized He-Ne laser and a mechanical chopper. With the dual modes of WMPAS and RFT, the optical excitation sensor achieved full-range CO2 detection, with an R² ≥ 0.9993 and a response time of 5 seconds. The compact and full-range CO2 sensor combines the advantages of WMPAS and RFT and offers a solution for high sensitivity, linearity and full-range CO2 detection.
基于波长调制光声光谱(WMPAS)和谐振频率跟踪(RFT)的双模式,研制了一种紧凑、鲁棒的光声传感器,该传感器采用自集成激光模块激励和优化的差分谐振器,实现了对二氧化碳(CO2)的高灵敏度和全线性范围检测。集成激光模块配备了三个激光器(量子级联激光器(QCL)、分布式反馈激光器(DFB)和He-Ne激光器),工作在时分复用模式下,作为一组集成的光谱源,用于检测指定的CO2浓度水平。在吸收光声模式下,QCL和DFB源的WMPAS检测能够检测到浓度低于20 %的CO2,噪声等效浓度(NEC)低至240 ppt,归一化噪声等效吸收系数(NNEA)为4.755 × 10-10 W cm-1/√Hz,动态范围高达11个数量级。利用稳定幅值的He-Ne激光器和机械斩波器,研究了更高的CO2浓度检测范围(20 % ~ 100 %)。采用WMPAS和RFT双模式,实现了全量程CO2检测,R²≥ 0.9993,响应时间为5 秒。紧凑的全量程CO2传感器结合了WMPAS和RFT的优点,提供了高灵敏度,线性度和全量程CO2检测的解决方案。
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引用次数: 0
Multimodal fluorescence-optoacoustic in vivo imaging of the near-infrared calcium ion indicator NIR-GECO2G 近红外钙离子指示剂NIR-GECO2G的多模态荧光光声体内成像。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100671
Sarah F. Shaykevich , Justin P. Little , Yong Qian , Marie-Eve Paquet , Robert E. Campbell , Daniel Razansky , Shy Shoham
Measuring whole-brain distributed functional activity is an important unmet need in neuroscience, requiring high temporal resolution and cellular specificity across large volumes. Functional optoacoustic neuro-tomography (FONT) with genetically encoded calcium ion indicators is a promising approach towards this goal. However, it has not yet been applied in the near-infrared (NIR) range that provides deep penetration and low vascular background optimal for in vivo neuroimaging. Here, we study the noninvasive multimodal fluorescence and optoacoustic imaging performance of state-of-the-art NIR calcium ion indicator NIR-GECO2G in the mouse brain. We observe robust in vivo signals with widefield fluorescence, and for the first time, with FONT. We also show that in both modalities, the NIR-GECO2G signal improves more than twofold in the biliverdin-enriched Blvra-/- mouse line compared to wild type. Our findings demonstrate the potential of multimodal fluorescence and optoacoustic NIR imaging, opening new possibilities for whole-brain real-time functional imaging in rodents.
测量全脑分布式功能活动是神经科学领域尚未满足的一个重要需求,它要求在大容量范围内具有高时间分辨率和细胞特异性。利用基因编码的钙离子指示剂进行功能性光声神经断层成像(FONT)是实现这一目标的一种很有前景的方法。然而,该技术尚未应用于近红外(NIR)范围,而近红外(NIR)范围具有深穿透性和低血管背景,是体内神经成像的最佳选择。在这里,我们研究了最先进的近红外钙离子指示剂 NIR-GECO2G 在小鼠大脑中的无创多模荧光和光声成像性能。我们用宽场荧光观察到了强大的体内信号,并首次用 FONT 观察到了信号。我们还发现,在这两种模式下,富含胆绿素的 Blvra -/- 小鼠系的近红外-GECO2G 信号比野生型提高了两倍多。我们的研究结果证明了多模式荧光和光声近红外成像的潜力,为啮齿类动物全脑实时功能成像开辟了新的可能性。
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引用次数: 0
Quantitative photoacoustic imaging using known chromophores as fluence marker 定量光声成像使用已知的发色团作为通量标记。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100673
Anjali Thomas , Max Rietberg , Mervenur Akkus , Gijs van Soest , Kalloor Joseph Francis
Photoacoustic imaging offers optical contrast images of human tissue at acoustic resolution, making it valuable for diverse clinical applications. However, quantifying tissue composition via optical contrast remains challenging due to the unknown light fluence within the tissue. Here, we propose a method that leverages known chromophores (e.g., arterial blood) to improve the accuracy of quantitative photoacoustic imaging. By using the optical properties of a known chromophore as a fluence marker and integrating it into the optical inversion process, we can estimate the unknown fluence within the tissue. Experimentally, we demonstrate that this approach successfully recovers both the spectral shape and magnitude of the optical absorption coefficient of an unknown chromophore. Additionally, we show that the fluence marker method enhances conventional optical inversion techniques, specifically (i) a straightforward iterative approach and (ii) a gradient-based method. Our results indicate an improvement in accuracy of up to 24.4% when comparing optical absorption recovery with and without the fluence marker. Finally, we present the method’s performance and illustrate its applications in carotid plaque quantification.
光声成像在声学分辨率下提供人体组织的光学对比图像,使其在各种临床应用中具有价值。然而,由于组织内未知的光影响,通过光学对比定量组织成分仍然具有挑战性。在这里,我们提出了一种方法,利用已知的发色团(例如,动脉血液)来提高定量光声成像的准确性。通过使用已知的发色团的光学性质作为通量标记,并将其集成到光学反演过程中,我们可以估计组织内的未知通量。实验表明,该方法成功地恢复了未知发色团的光谱形状和光吸收系数的大小。此外,我们表明,影响力标记方法增强了传统的光学反演技术,特别是(i)直接迭代方法和(ii)基于梯度的方法。我们的结果表明,在使用和不使用通量标记时,光学吸收回收率的准确度提高了24.4%。最后,我们介绍了该方法的性能,并举例说明其在颈动脉斑块定量中的应用。
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引用次数: 0
Multiple optical path length reflections enhancement based on balloon-type photoacoustic cell for trace gas sensing 基于球囊型光声电池的多光程长度反射增强用于痕量气体传感。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100681
Ruiming Wu , Wenjun Ni , Chunyong Yang , Bingze He , Ping Lu , Sixiang Ran , Zhongke Zhao , Perry Ping Shum
A novel balloon-type photoacoustic cell (BTPAC) is proposed to facilitate the detection limitations of acetylene (C2H2) gas achieving ppb level. Here, an ellipsoidal photoacoustic cavity is employed as the platform for gas-light interaction. By strategically directing the excitation source towards the focal point of the ellipsoidal cavity, ensuring its trajectory traverses the focal point upon each reflection from the interior walls. This path increases the gas absorption path length and improves the efficiency of the laser-gas interaction process. Experimental results show that the quality factor of the BTPAC is 224.24 under normal temperature and pressure conditions. Notably, the system maintains a high signal-to-noise ratio even at a C2H2 concentration of 0.1 ppm. Moreover, the minimum detection limit (MDL) and normalized noise equivalent absorption can be calculated to be 3.86 ppb, 6.94·10−10 cm−1·W·Hz−1/2, respectively. Finally, the MDL of the sensor reaches to 0.71 ppb when the integration time reaches 100 s.
针对乙炔(C2H2)气体达到ppb级的检测限制,提出了一种新型球囊型光声电池(BTPAC)。本文采用椭球形光声腔作为气光相互作用的平台。通过有策略地将激励源指向椭球腔的焦点,确保其轨迹在每次从内墙反射时穿过焦点。该路径增加了气体吸收路径长度,提高了激光-气体相互作用过程的效率。实验结果表明,常温常压条件下,BTPAC的品质因子为224.24。值得注意的是,该系统即使在C2H2浓度为0.1 ppm时也能保持高信噪比。最小检出限和归一化噪声等效吸收分别为3.86 ppb和6.94·10-10 cm-1·W·Hz-1/2。最后,当积分时间达到100 s时,传感器的MDL达到0.71 ppb。
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引用次数: 0
Dichroism-sensitive photoacoustic imaging for in-depth estimation of the optic axis in fibrous tissue 用于纤维组织中光轴深度估计的二色敏感光声成像。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100676
Camilo Cano , Amir Gholampour , Marc van Sambeek , Richard Lopata , Min Wu
Photoacoustic imaging (PAI) is a developing image modality that benefits from light–matter interaction and low acoustic attenuation to provide functional information on tissue composition at relatively large depths. Several studies have reported the potential of dichroism-sensitive photoacoustic (DS-PA) imaging to expand PAI capabilities by obtaining morphological information of tissue regarding anisotropy and predominant orientation. However, most of these studies have limited their analysis to superficial scanning of samples, where fluence effects are negligible. Herein, we present a mathematical model for the in-depth analysis of the DS-PA signal of biological samples, focusing on estimating tissue orientation. Our model is validated with a B-scan setup for DS-PA imaging in ex-vivo porcine tendon samples, for which collagen displays optical anisotropy. Results show that for in-depth DS-PA imaging, the accumulative fluence modulation due to dichroism overcomes the effect of absorption dichroism affecting the measured signals; however, this effect can be corrected based on the presented model for determining fiber orientation.
光声成像(PAI)是一种发展中的成像方式,得益于光-物质相互作用和低声衰减,可以在相对较大的深度提供组织成分的功能信息。一些研究报道了二色敏感光声成像(DS-PA)通过获取组织各向异性和优势取向的形态学信息来扩大PAI能力的潜力。然而,这些研究大多局限于对样品的表面扫描,其中影响可以忽略不计。在此,我们提出了一个数学模型,用于深入分析生物样品的DS-PA信号,重点是估计组织取向。我们的模型用离体猪肌腱样本的b扫描设置进行了DS-PA成像验证,其中胶原蛋白表现出光学各向异性。结果表明,对于深度DS-PA成像,由于二色性引起的累积通量调制克服了吸收二色性对被测信号的影响;然而,这种影响可以根据所提出的确定纤维取向的模型进行修正。
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引用次数: 0
Temperature dependence of femtosecond photoacoustic process in high-precision characterization for metal nanofilms 飞秒光声过程在金属纳米膜高精度表征中的温度依赖性。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100678
Zhongyu Wang , Jing Min , Yong Sun , Xuesong Wang , Xiuguo Chen , Zirong Tang , Shiyuan Liu
Femtosecond photoacoustic detection is a powerful all-optical technique for characterizing metal nanofilms. However, the lack of accurate descriptions of the temperature-dependent optical properties of metal nanofilms during ultrafast thermal processes hinders the deep understanding of this dynamic behavior, leading to compromised measurement accuracy. To address this, we developed Critical Point Models (CPMs) for copper and AlCu nanofilms to describe their dynamic optical properties during photoacoustic testing. By integrating dynamic behavior into ultrafast laser-matter interaction and acousto-optic processes, we explored the temperature effects throughout testing. Numerical simulations were performed to analyze the temperature, stress, and surface reflectivity distributions of the nanofilms. Compared to experimental results, our dynamic models significantly improved prediction accuracy for both copper and AlCu nanofilms. This highlights the importance of temperature dependence in femtosecond photoacoustic testing and validates our model's capability to capture the behavior of metal nanofilms under ultrafast laser irradiation.
飞秒光声探测是表征金属纳米膜的一种强大的全光技术。然而,在超快热过程中,缺乏对金属纳米膜的温度依赖光学特性的准确描述,阻碍了对这种动态行为的深入理解,导致测量精度受损。为了解决这个问题,我们开发了铜和AlCu纳米膜的临界点模型(cpm)来描述它们在光声测试中的动态光学特性。通过将动态行为整合到超快激光-物质相互作用和声光过程中,我们在整个测试中探索了温度效应。通过数值模拟分析了纳米膜的温度、应力和表面反射率分布。与实验结果相比,我们的动态模型显著提高了铜和AlCu纳米膜的预测精度。这突出了飞秒光声测试中温度依赖性的重要性,并验证了我们的模型在超快激光照射下捕获金属纳米膜行为的能力。
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引用次数: 0
Optomechanical energy enhanced BF-QEPAS for fast and sensitive gas sensing 用于快速灵敏气体传感的光机械能量增强型 BF-QEPAS。
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-02-01 DOI: 10.1016/j.pacs.2024.100677
Weilin Ye , Linfeng He , Weihao Liu , Zhile Yuan , Kaiyuan Zheng , Guolin Li
Traditional beat frequency quartz-enhanced photoacoustic spectroscopy (BF-QEPAS) are limited by short energy accumulation times and the necessity of a decay period, leading to weaker signals and longer measurement cycles. Herein, we present a novel optomechanical energy-enhanced (OEE-) BF-QEPAS technique for fast and sensitive gas sensing. Our approach employs periodic pulse-width modulation (PWM) of the laser signal with an optimized duty cycle, maintaining the quartz tuning fork's (QTF) output at a stable steady-state level by applying stimulus signals at each half-period and allowing free vibration in alternate half-periods to minimize energy dissipation. This method enhances optomechanical energy accumulation in the QTF, resulting in an approximate 33-fold increase in response speed and a threefold increase in signal intensity compared to conventional BF-QEPAS. We introduce an energy efficiency coefficient K to quantify the relationship between transient signal amplitude and measurement duration, exploring its dependence on the modulation signal's period and duty cycle. Theoretical analyses and numerical simulations demonstrate that the maximum K occurs at a duty cycle of 50 % and an optimized beat frequency Δf of 30 Hz. Experimental results using methane reveal a detection limit of 2.17 ppm with a rapid response time of 33 ms. The OEE-BF-QEPAS technique exhibits a wide dynamic range with exceptional linearity over five orders of magnitude and a record noise-equivalent normalized absorption (NNEA) coefficient of 9.46 × 10−10 W cm−1 Hz−1/2. Additionally, a self-calibration method is proposed for correcting resonant frequency shifts. The proposed method holds immense potential for applications requiring fast and precise gas detection.
传统的拍频石英增强光声光谱(BF-QEPAS)由于能量积累时间短和必须有衰减期而受到限制,导致信号较弱和测量周期较长。在此,我们提出了一种新型光机械能量增强(OEE-)BF-QEPAS 技术,用于快速、灵敏的气体传感。我们的方法采用优化占空比的激光信号周期性脉宽调制 (PWM),通过在每个半周期应用刺激信号,将石英音叉 (QTF) 的输出维持在稳定的稳态水平,并允许在交替的半周期内自由振动,以最大限度地减少能量耗散。与传统的 BF-QEPAS 相比,这种方法增强了 QTF 中的光机械能积累,使响应速度提高了约 33 倍,信号强度提高了 3 倍。我们引入了能效系数 K 来量化瞬态信号振幅与测量持续时间之间的关系,并探讨了它与调制信号周期和占空比之间的关系。理论分析和数值模拟表明,最大 K 出现在占空比为 50% 和优化节拍频率 Δf 为 30 Hz 时。使用甲烷进行的实验结果表明,检测极限为 2.17 ppm,快速反应时间为 33 ms。OEE-BF-QEPAS 技术的动态范围很宽,线性度超过五个数量级,噪声等效归一化吸收 (NNEA) 系数为 9.46 × 10-10 W cm-1 Hz-1/2。此外,还提出了一种用于校正谐振频率偏移的自校准方法。所提出的方法在需要快速和精确气体检测的应用中具有巨大的潜力。
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引用次数: 0
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Photoacoustics
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