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Label-free photoacoustic imaging of glassfrog development 玻璃蛙发育的无标签光声成像
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-01 Epub Date: 2025-10-04 DOI: 10.1016/j.pacs.2025.100773
Qiangzhou Rong , Carlos Taboada , Van Tu Nguyen , Rui Yao , Jesse Delia , Yushun Zeng , Xiaoyi Zhu , Qifa Zhou , Junjie Yao
A primary focus of contemporary biology is to understand how internal molecules influence natural development. Many amphibians serve as highly effective model organisms for this research due to their rapid growth rates and transparent tissues, which facilitate high-resolution imaging. In our research, we utilized two complementary photoacoustic microscopy (PAM) configurations: hyperspectral PAM (HS-PAM) and ultrafast functional PAM (UFF-PAM). HS-PAM enabled us to achieve cellular-level resolution in vitro, while UFF-PAM allowed us to capture hemodynamic changes of adult specimens in vivo. We monitored the morphological changes in glassfrogs from neurulation to the tadpole stage by detecting a variety of intrinsic contrasts, including DNA/RNA, yolk proteins, lipids, hemoglobin, and melanin. The PAM images provided detailed depictions of anatomical development. To further explore the versatility of these systems, we also imaged tissue structures within the skeletal muscle, liver, and fat tissue of other treefrog species. Additionally, we monitored blood flow dynamics in two species of glassfrogs under both awake and under anesthesia. Overall, our findings demonstrate that PAM is a powerful and versatile method, that can be coupled with different species of amphibians to inform applications in developmental biology.
当代生物学的一个主要焦点是了解内部分子如何影响自然发育。许多两栖动物由于其快速的生长速度和透明的组织,便于高分辨率成像,因此可以作为这项研究的高效模式生物。在我们的研究中,我们使用了两种互补的光声显微镜(PAM)配置:高光谱PAM (HS-PAM)和超快功能PAM (UFF-PAM)。HS-PAM使我们能够在体外获得细胞水平的分辨率,而UFF-PAM使我们能够在体内捕获成人标本的血流动力学变化。我们通过检测各种内在对比,包括DNA/RNA、蛋黄蛋白、脂质、血红蛋白和黑色素,监测玻璃蛙从神经期到蝌蚪期的形态学变化。PAM图像提供了解剖发育的详细描述。为了进一步探索这些系统的多功能性,我们还对其他树蛙物种的骨骼肌、肝脏和脂肪组织内的组织结构进行了成像。此外,我们还监测了两种玻璃蛙在清醒和麻醉状态下的血流动力学。总的来说,我们的研究结果表明,PAM是一种强大而通用的方法,可以与不同种类的两栖动物相结合,为发育生物学的应用提供信息。
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引用次数: 0
Topological optimization method “MMA-BP” for photoacoustic resonator and implementations in ppt-level gas sensor using miniaturized vase-type photoacoustic cells 光声谐振器拓扑优化方法“MMA-BP”及其在微型花瓶型光声电池pt级气体传感器中的实现
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-01 Epub Date: 2025-09-05 DOI: 10.1016/j.pacs.2025.100767
Wenzhe Wang , Zhiyu Feng , Yachao Jiang , Jie Zhang , Shiyu Yan , Xiaohong Cao , Ping Lu , Chaotan Sima
A topological optimization method for photoacoustic resonators is proposed as the Method of Moving Asymptotes with Bernstein Polynomials (MMA-BP). This method is demonstrated in a ppt-level ultra-sensitive photoacoustic spectroscopy gas sensor using miniaturized vase-type photoacoustic cell (V-PAC). The V-PAC has a volume of merely 5 mL and achieves a minimum detection limit of 281 ppt for C2H2 with an integration time of 768 s, corresponding to a normalized noise equivalent absorption of 4.46 × 10⁻9∙cm⁻1∙Hz⁻1/2 with a single optical path. It represents an improvement of approximately 14 times beyond that of using the conventional T-type PAC. We experimentally investigated consequent frequency shifts within conventional PACs with thin resonator tubes, and determined the influence of losses on the resonant frequency shift. The geometric contraction effect in vase-type PAC is also investigated. The proposed topological MMA-BP method and implementations provide a universal approach to establish optimized PAC structures for photoacoustic gas detection.
提出了一种光声谐振器拓扑优化方法——Bernstein多项式移动渐近线法(MMA-BP)。该方法在一种使用微型花瓶型光声电池(V-PAC)的pt级超灵敏光声光谱气体传感器中得到了验证。V-PAC的体积仅为5 mL,对C2H2的最小检测限为281 ppt,积分时间为768 s,对应于单光路的归一化噪声当量吸收为4.46 × 10⁻9∙cm⁻1∙Hz⁻1/2。它比使用传统的t型PAC改进了大约14倍。我们通过实验研究了使用薄谐振腔管的传统PAC内部的频移,并确定了损耗对谐振频移的影响。还研究了花瓶型PAC的几何收缩效应。提出的拓扑MMA-BP方法及其实现为建立用于光声气体检测的优化PAC结构提供了一种通用方法。
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引用次数: 0
Contrast-enhanced multispectral optoacoustic tomography for the assessment of the gastrointestinal transit in patients with cystic fibrosis 对比增强多光谱光声断层扫描对囊性纤维化患者胃肠道运输的评估
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-01 Epub Date: 2025-09-10 DOI: 10.1016/j.pacs.2025.100766
Johanna Fuchte, Felix Wachter, Merle Claßen, Hannah Vogt-Wolz, Lars-Philip Paulus, Henriette Mandelbaum, Adrian Buehler, Gregor Siebenlist, Jörg Jüngert, Joachim Wölfle, André Hörning, Ferdinand Knieling, Adrian P. Regensburger , Alexander Schnell
Cystic fibrosis (CF) affects the gastrointestinal tract, but assessing gastrointestinal transit usually requires invasive procedures or exposure to ionizing radiation. Contrast-enhanced multispectral optoacoustic tomography (CE-MSOT) offers a novel, non-invasive, and radiation-free approach to assess gastrointestinal function by orally administered dyes. In this clinical pilot-study five patients with cystic fibrosis and four healthy volunteers received CE-MSOT before and 6-times hourly after a standardized breakfast with Indocyanin green (ICG) as dye. The gastric antrum, terminal ileum and sigmoid colon were recorded and MSOT signals spectrally unmixed to detect ICG signals to determine the transit time. ICG excretion was confirmed by fluorescence imaging of stool samples. MSOT ICG signals were detected earlier in the terminal ileum of CF patients, reaching a maximum after 120 min (p = 0.0079), compared to 240 min (p = 0.0286) in healthy controls after ICG intake (p = 0.0159). In CF patients, ICG signal was further detected in the sigmoid colon from 240 min onwards (p = 0.0079 after 300 min). But, no significant changes in the ICG signal were observed in the sigmoid colon of controls. Furthermore, signals of ICG were verified in 12 of 19 stool samples by fluorescence imaging. In this study, we demonstrated the potential of CE-MSOT for functional imaging of the intestine in CF patients and revealed faster intestinal transit in CF patients compared to healthy controls.
囊性纤维化(CF)影响胃肠道,但评估胃肠道运输通常需要侵入性手术或暴露于电离辐射。对比增强的多光谱光声断层扫描(CE-MSOT)提供了一种新的、无创的、无辐射的方法,通过口服染料来评估胃肠道功能。在这项临床试点研究中,5名囊性纤维化患者和4名健康志愿者在标准化早餐前和早餐后分别接受CE-MSOT治疗,每小时6次,早餐时使用吲哚青素绿(ICG)作为染料。记录胃窦、回肠末端和乙状结肠,对MSOT信号进行频谱分离,检测ICG信号,确定传递时间。粪便标本的荧光成像证实ICG排泄。CF患者回肠末端检测到MSOT ICG信号较早,在摄入ICG后120 min (p = 0.0079)达到最大值,而健康对照组为240 min (p = 0.0286)(p = 0.0159)。在CF患者中,从240 min开始在乙状结肠进一步检测到ICG信号(300 min后p = 0.0079)。对照组乙状结肠ICG信号未见明显变化。此外,19份粪便样本中有12份通过荧光成像证实了ICG信号。在这项研究中,我们证明了CE-MSOT对CF患者肠道功能成像的潜力,并揭示了CF患者的肠道运输速度比健康对照组更快。
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引用次数: 0
Advancing non-invasive melanoma diagnostics with deep learning and multispectral photoacoustic imaging 利用深度学习和多光谱光声成像技术推进非侵入性黑色素瘤诊断
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-06-19 DOI: 10.1016/j.pacs.2025.100743
Aboma Merdasa , Alice Fracchia , Magne Stridh , Jenny Hult , Emil Andersson , Patrik Edén , Victor Olariu , Malin Malmsjö
The incidence of melanoma is rising and will require more efficient diagnostic procedures to meet a growing demand. Excisional biopsy and histopathology is still the standard, which often requires multiple surgical incisions with increasing margins due inaccurate visual assessment of where the melanoma borders to healthy tissue. This challenge stems, in part, from the inability to reliably delineate the melanoma without visually inspecting chemically stained histopathological cross-sections. Spectroscopic imaging have shown promise to non-invasively characterize the molecular composition of tissue and thereby distinguish melanoma from healthy tissue based on spectral features. In this work we describe a computational framework applied to multispectral photoacoustic (PA) imaging data of melanoma in humans and demonstrate how the borders of the tumor can be automatically determined without human input. The framework combines K-means clustering, for an unbiased selection of training data, a one-dimensional convolutional neural network applied to PA spectra for classifying pixels as either healthy or diseased, and an active contour algorithm to finally delineate the melanoma in 3D. The work stands to impact clinical practice as it can provide both pre-surgical and perioperative guidance to ensure complete tumor removal with minimal surgical incisions.
黑色素瘤的发病率正在上升,需要更有效的诊断程序来满足日益增长的需求。切除活检和组织病理学仍然是标准,这通常需要多个手术切口,由于不准确的视觉评估黑素瘤与健康组织的边界。这一挑战部分源于无法在没有视觉检查化学染色的组织病理学横截面的情况下可靠地描绘黑色素瘤。光谱成像是非侵入性地表征组织的分子组成,从而根据光谱特征区分黑色素瘤和健康组织。在这项工作中,我们描述了一个应用于人类黑色素瘤多光谱光声(PA)成像数据的计算框架,并演示了如何在没有人工输入的情况下自动确定肿瘤的边界。该框架结合了K-means聚类,用于无偏地选择训练数据,一维卷积神经网络应用于PA光谱,用于将像素分类为健康或患病,以及主动轮廓算法,最终在3D中描绘黑色素瘤。这项工作将影响临床实践,因为它可以为术前和围手术期提供指导,以确保以最小的手术切口完全切除肿瘤。
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引用次数: 0
Sensitive light-induced thermoelastic spectroscopy based on transmitted light amplification 基于透射光放大的敏感光致热弹性光谱学
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-08-10 DOI: 10.1016/j.pacs.2025.100759
Zhenfeng Gong , Ruoran Kan , Mingzhe Li , Mi Zhou , Guojie Wu , Xiang Chen
This paper investigates the light-induced thermoelastic spectroscopy (LITES) based on transmitted light amplification to realize high-precision gas detection. The modulated laser beam passes through a multi-pass cell and is then coupled to an optical amplifier. The multi-pass cell reflects the laser beam 100 times, has an optical length of 16 m, and its transmitted light intensity is 1.67 mW. A narrowband fiber optical filter with a bandwidth of 0.8 nm is utilized to suppress optical noise. Based on the transmitted light amplification, the signal-to-noise ratio (SNR) is improved by a factor of 3.6. To investigate the enhancement of second harmonic (2 f) signals under weak light intensities, a fiber optical attenuator is adopted to attenuate the transmitted light intensity. While the transmitted light intensity is attenuated to 0.048 mW, a high SNR of 1823 and a minimum detection limit (MDL) of 0.110 ppm can be obtained. Hence, LITES based on transmitted light amplification enables high-precision measurements while the light intensity is only at the scale of μW. This approach facilitates a significant increase in the number of beam reflections as well as the optical length of the multi-pass cell and resonant cavity for LITES sensors.
本文研究了基于透射光放大的光致热弹性光谱(LITES)技术,以实现高精度气体检测。调制的激光束通过一个多通单元,然后耦合到一个光放大器。多通电池对激光束进行100次反射,光长为16 m,透射光强为1.67 mW。利用带宽为0.8 nm的窄带光纤滤波器抑制光噪声。基于透射光放大,信噪比提高了3.6倍。为了研究微弱光强下二次谐波(2 f)信号的增强,采用光纤衰减器对透射光强进行衰减。当透射光强衰减到0.048 mW时,可获得1823的高信噪比和0.110 ppm的最小检测限。因此,基于透射光放大的LITES可以在光强仅为μW的尺度下实现高精度测量。这种方法有助于显著增加光束反射的数量,以及LITES传感器的多通单元和谐振腔的光学长度。
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引用次数: 0
Reconstructing multiple initial pressure and speed of sound distributions simultaneously in photoacoustic tomography 光声层析成像中多重初始声压和声速分布的同时重建
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-07-11 DOI: 10.1016/j.pacs.2025.100748
Miika Suhonen , Felix Lucka , Aki Pulkkinen , Simon Arridge , Ben Cox , Tanja Tarvainen
Image reconstruction in photoacoustic tomography relies on an accurate knowledge of the speed of sound in the target. However, the speed of sound distribution is not generally known, which may result in artefacts in the reconstructed distribution of initial pressure. Therefore, reconstructing the speed of sound simultaneously with the initial pressure would be valuable for accurate imaging in photoacoustic tomography. Furthermore, the speed of sound distribution could provide additional valuable information about the imaged target. In this work, simultaneous reconstruction of initial pressure and speed of sound in photoacoustic tomography is studied. This inverse problem is known to be highly ill-posed. To overcome this, we study an approach where the ill-posedness is alleviated by utilising multiple photoacoustic data sets that are generated by different initial pressure distributions within the same imaged target. Then, these initial pressure distributions are reconstructed simultaneously with the speed of sound distribution. A methodology for solving this minimisation problem is formulated using a gradient-based iterative approach equipped with bound constraints and a multigrid approach. The methodology was evaluated with numerical simulations. Different approaches for generating multiple initial pressure distributions and their effect on the solution of the image reconstruction problem were studied. The results show that initial pressure and speed of sound can be simultaneously reconstructed from photoacoustic data. Furthermore, utilising multiple initial pressure distributions improves the reconstructions such that the locations of initial pressure and speed of sound inhomogeneities can be better distinguished and image artifacts are reduced.
光声层析成像中的图像重建依赖于对目标声速的准确了解。然而,由于声速分布的一般不知道,这可能会导致重建的初始压力分布出现伪影。因此,同时重建声速和初始压力对于光声断层成像的精确成像是有价值的。此外,声速分布可以提供关于成像目标的额外有价值的信息。本文研究了光声层析成像中声速和初始压力的同时重建。这个逆问题是高度不适定的。为了克服这一点,我们研究了一种方法,该方法通过利用由同一成像目标内不同初始压力分布产生的多个光声数据集来减轻不适。然后,将这些初始压力分布与声速分布同步重构。解决这个最小化问题的方法是使用一个基于梯度的迭代方法,配备了绑定约束和多网格方法。通过数值模拟对该方法进行了评价。研究了生成多个初始压力分布的不同方法及其对图像重建问题求解的影响。结果表明,光声数据可以同时重建声压和声速。此外,利用多个初始压力分布改进了重建,从而可以更好地区分声不均匀的初始压力和速度的位置,并减少图像伪影。
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引用次数: 0
Three-dimensional optical path extended gourd-type photoacoustic cell for highly sensitive trace acetylene sensing 用于高灵敏度痕量乙炔传感的三维光路扩展葫芦型光声电池
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-08-19 DOI: 10.1016/j.pacs.2025.100762
Chuanwen Qian , Wenjun Ni , Chunyong Yang , Zhongke Zhao , Likang Zhang , Sixiang Ran , Chenyu Wang , Ping Lu , Perry Ping Shum
A novel gourd-type photoacoustic cell (GTPAC) has been developed, featuring a highly reflective, polished gold film-coated inner wall that minimizes optical loss and maximizes light utilization efficiency. GTPAC integrates two coupled spherical chambers with a radius ratio 2:3, which is close to the golden ratio. Its unique Gaussian curvature distribution enables multi-directional, disordered light beam reflection without complex optical alignment. It creates a non-periodic three-dimensional (3D) optical trajectory, significantly enhancing light-molecule interactions. GTPAC achieves an exceptionally high sensitivity of up to 3.36 μV/ppm using a distributed feedback butterfly laser with central wavelength of 1532 nm (±1.5 nm) to detect acetylene gas. When the integration time is extended to 100 s, the minimum detection limit is as low as 0.59 ppb. Moreover, its flexible design and broad spectral compatibility enable significant potential for extension to other gases, such as methane and nitrogen oxides, offering new prospects for ultra-sensitive trace gas detection.
一种新型的葫芦型光声电池(GTPAC)已经开发出来,其特点是高反射,抛光的金膜涂层内壁,最大限度地减少了光损失,最大限度地提高了光利用效率。GTPAC集成了两个耦合的球室,半径比为2:3,接近黄金分割。其独特的高斯曲率分布使多向,无序光束反射无需复杂的光学校准。它创造了一个非周期性的三维(3D)光学轨迹,显著增强了光分子的相互作用。GTPAC采用中心波长为1532 nm(±1.5 nm)的分布式反馈蝶形激光器检测乙炔气体,灵敏度高达3.36 μV/ppm。当积分时间延长到100 s时,最小检出限低至0.59 ppb。此外,其灵活的设计和广谱兼容性使其具有扩展到其他气体(如甲烷和氮氧化物)的巨大潜力,为超灵敏微量气体检测提供了新的前景。
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引用次数: 0
Conductance-photoacoustic spectroscopy for fast and concurrent sensing of hydrogen and hydrocarbons 用于氢和碳氢化合物的快速和同步传感的电导光声光谱
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-07-23 DOI: 10.1016/j.pacs.2025.100752
Ruobin Zhuang , Jianfeng He , Haoyang Lin , Huijian Luo , Leqing Lin , Lihao Wang , Bin Liu , Wenguo Zhu , Yongchun Zhong , Jianhui Yu , Markus Sigrist , Huadan Zheng
Accurate and rapid detection of hydrogen and hydrocarbons is critical for safety and efficiency in modern energy, industrial, and environmental systems. However, selective and simultaneous quantification of these species remains a significant technical challenge. Here, we introduce conductance–photoacoustic spectroscopy (ConPAS), an integrated sensing approach that combines conductance-based resonance modulation with quartz-enhanced photoacoustic spectroscopy in a single device. By bridging a quartz tuning fork (QTF) with a catalytic platinum microwire, ConPAS enables concurrent extraction of hydrogen and hydrocarbon concentrations from a unified electrical signal: hydrogen is quantified by frequency analysis, while hydrocarbon content is determined by amplitude analysis simultaneously. Experiments demonstrate minimum detection limits of 0.69 % for hydrogen, 40.26 ppm for propane, and 133.7 ppm for methane, with millisecond response time and excellent linearity (R² > 0.99). The modular architecture allows flexible adaptation to other analytes via material substitution, offering a scalable and versatile solution for simultaneous, multi-component gas sensing. This work establishes ConPAS as a powerful, calibration-compatible platform for integrated gas analysis in hydrogen-enriched environments, with broad implications for safety monitoring, process control, and advanced energy applications.
准确、快速地检测氢和碳氢化合物对于现代能源、工业和环境系统的安全和效率至关重要。然而,这些物种的选择性和同时定量仍然是一个重大的技术挑战。在这里,我们介绍了电导光声光谱(ConPAS),这是一种在单个设备中结合电导共振调制和石英增强光声光谱的集成传感方法。通过将石英音叉(QTF)与催化铂微丝桥接,ConPAS可以从统一的电信号中同时提取氢和碳氢化合物浓度:氢通过频率分析量化,而碳氢化合物含量通过幅度分析同时确定。实验表明,氢气的最小检出限为0.69 %,丙烷为40.26 ppm,甲烷为133.7 ppm,响应时间为毫秒级,线性良好(R²>;0.99)。模块化结构允许通过材料替代灵活适应其他分析物,为同时,多组分气体传感提供可扩展和通用的解决方案。这项工作建立了ConPAS作为一个强大的、校准兼容的平台,用于富氢环境中的综合气体分析,对安全监测、过程控制和先进的能源应用具有广泛的意义。
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引用次数: 0
Towards bridging the synthetic-to-real gap in quantitative photoacoustic tomography via unsupervised domain adaptation 通过无监督域自适应弥合定量光声断层成像中合成与真实的差距
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-07-04 DOI: 10.1016/j.pacs.2025.100736
Zeqi Wang , Wei Tao , Zhuang Zhang , Hui Zhao
The difficulty of obtaining absorption coefficient annotations hinders the practical application of deep learning in quantitative photoacoustic tomography. While training on synthetic data is easy to implement, the synthetic-to-real domain gap poses a significant challenge to model generalization. To address this, we propose a Decoder-enhanced unsupervised Domain Adaptation (DDA) framework to enable knowledge transfer from synthetic data to an unlabeled target domain. Experimental results show that DDA significantly improves estimation performance on target images and surpasses competing methods in quantitative evaluation and visual comparison. Additionally, we investigate the effect of cross-domain label distribution similarity on domain adaptation and recommend an effective approach for data synthesis. To mitigate the effect of absorption property mismatch, we propose fine-tuning the affine parameters of normalization layers, which significantly improves estimation accuracy using labeled multi-wavelength photoacoustic images from as few as two target samples.
获取吸收系数注释的困难阻碍了深度学习在定量光声层析成像中的实际应用。虽然在合成数据上进行训练很容易实现,但合成域与真实域的差距对模型泛化提出了重大挑战。为了解决这个问题,我们提出了一个解码器增强的无监督领域自适应(DDA)框架,以实现从合成数据到未标记目标领域的知识转移。实验结果表明,DDA算法显著提高了对目标图像的估计性能,并在定量评价和视觉比较方面优于竞争方法。此外,我们还研究了跨领域标签分布相似度对领域自适应的影响,并提出了一种有效的数据合成方法。为了减轻吸收特性不匹配的影响,我们提出微调归一化层的仿射参数,这显著提高了使用标记的多波长光声图像从少至两个目标样品的估计精度。
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引用次数: 0
Sparse scanning encoding and neural network decoding for compressed photoacoustic microscopy 压缩光声显微镜稀疏扫描编码与神经网络解码
IF 6.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-10-01 Epub Date: 2025-08-06 DOI: 10.1016/j.pacs.2025.100757
Junjie She , Qican Zhang , Yajun Wang , Hongying Hu , Meng You , Junfei Shen
Photoacoustic microscopy (PAM) offers high-resolution, non-invasive, and label-free imaging, making it invaluable for biomedical research. However, slow data acquisition and high sampling requirements remain key challenges that limit its broader applicability and scalability. We propose an Information-Efficient Photoacoustic Microscopy (IE-PAM) that jointly integrates sparse scanning encoding with neural network decoding to achieve high-quality reconstruction from extremely limited measurements. Specifically, IE-PAM employs a sparse-scanning acquisition scheme guided by random binary masks and reconstructs high-fidelity images using AFDU-Net, a custom-designed neural decoder trained on fully sampled ground truth data. Our system can faithfully recover detailed anatomical structures from as little as 1.5 % of the full sampling rate, corresponding to more than a 66-fold increase in acquisition efficiency. In in-vivo experiments on mouse ear vasculature, IE-PAM outperforms both traditional and learning-based baselines in fine vascular fidelity, artifact suppression, and robustness across varying sampling rates. By minimizing information redundancy at the acquisition stage and enabling accurate reconstruction from minimal data, IE-PAM provides a foundation for efficient, fast and scalable photoacoustic imaging in both preclinical and research applications.
光声显微镜(PAM)提供高分辨率,非侵入性和无标签成像,使其对生物医学研究非常宝贵。然而,缓慢的数据采集和高采样要求仍然是限制其更广泛的适用性和可扩展性的关键挑战。我们提出了一种信息高效光声显微镜(IE-PAM),它联合集成了稀疏扫描编码和神经网络解码,以从极其有限的测量中实现高质量的重建。具体而言,IE-PAM采用随机二值掩模引导的稀疏扫描采集方案,并使用AFDU-Net(一种定制设计的基于全采样地面真值数据训练的神经解码器)重建高保真图像。我们的系统可以忠实地恢复详细的解剖结构,只需1.5 %的全采样率,相当于采集效率提高了66倍以上。在小鼠耳血管的体内实验中,IE-PAM在不同采样率下的精细血管保真度、伪像抑制和鲁棒性方面优于传统和基于学习的基线。通过最大限度地减少采集阶段的信息冗余,并从最少的数据中实现准确的重建,IE-PAM为临床前和研究应用中高效、快速和可扩展的光声成像提供了基础。
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引用次数: 0
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