Dual-gas quartz-enhanced photoacoustic spectroscopy sensor exploiting two fiber-combined interband cascade lasers [0.03%]
一种基于两路光纤合成的分布式反馈中红外激光器的双气检测石英增强光声传感方法
Luigi Melchiorre,Francesco Anelli,Giansergio Menduni et al.
Luigi Melchiorre et al.
In this work, a novel indium fluoride glass 2-input-1-output fiber combiner was designed and fabricated to combine two Interband Cascade Laser (ICL) sources emitting in the mid-infrared wavelength range. To test the combiner performance, a ...
Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation [0.03%]
基于扩散方程的光声层析成像自监督光照修正网络
Zhaoyong Liang,Zongxin Mo,Shuangyang Zhang et al.
Zhaoyong Liang et al.
Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised net...
Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons [0.03%]
基于声压反转信标的超声速分布断层成像方法研究
Yang Wang,Danni Wang,Liting Zhong et al.
Yang Wang et al.
Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modul...
Quantitative photoacoustic imaging using known chromophores as fluence marker [0.03%]
基于已知色素作为剂量标记的定量光声成像方法
Anjali Thomas,Max Rietberg,Mervenur Akkus et al.
Anjali Thomas et al.
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 u...
Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning [0.03%]
模式识别在光声成像中的应用可识别条件恐惧学习过程中大鼠前额叶皮层神经元簇
Shane A Perrine,Mohammad Beirami,James I Matchynski et al.
Shane A Perrine et al.
Pattern recognition analysis in brain research has improved understanding of sensory processing and led to the identification of default brain networks in neuroimaging studies. The current study uses pattern recognition analysis to extend o...
Multiple optical path length reflections enhancement based on balloon-type photoacoustic cell for trace gas sensing [0.03%]
基于气球型光声腔的多次光学路径长度反射增强痕量气体检测方法
Ruiming Wu,Wenjun Ni,Chunyong Yang et al.
Ruiming Wu et al.
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...
Multimodal fluorescence-optoacoustic in vivo imaging of the near-infrared calcium ion indicator NIR-GECO2G [0.03%]
近红外钙离子示踪剂NIR-GECO2G的多模态荧光-光声成像
Sarah F Shaykevich,Justin P Little,Yong Qian et al.
Sarah F Shaykevich et al.
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 genetic...
Temperature dependence of femtosecond photoacoustic process in high-precision characterization for metal nanofilms [0.03%]
金属纳米薄膜精密特性检测中飞秒光电声过程的温度依赖性研究
Zhongyu Wang,Jing Min,Yong Sun et al.
Zhongyu Wang et al.
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 therm...
MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data [0.03%]
基于稀疏数据的光声成像重建的多尺度密集卷积神经网络（MSD-Net）
Liangjie Wang,Yi-Chao Meng,Yiming Qian
Liangjie Wang
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, p...
Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures [0.03%]
基于CNN的深度学习体系结构在实时LED激发的光声成像中改善信噪比的比较研究
Avijit Paul,Srivalleesha Mallidi
Avijit Paul
Recent advances in Light Emitting Diode (LED) technology have enabled a more affordable high frame rate photoacoustic imaging (PA) alternative to traditional laser-based PA systems that are costly and have slow pulse repetition rate. Howeve...