Bessel beam side lobe suppression via non-degenerate two-photon excitation [0.03%]
非简并双光子激发抑制贝塞尔光束边模研究表明
Stephen Tucker,Ezra Guralnik,Shy Shoham
Stephen Tucker
Bessel beams are commonly used in two-photon microscopy to extend the depth of field and thereby achieve functional volumetric imaging of the living brain. In practice, this approach suffers from background signals and limited lateral resol...
Circular-scanning variance delay and sum algorithm for photoacoustic imaging [0.03%]
圆扫描声光成像方差延迟求和算法
Zhicheng Wang,Zijun Xi,Qian Song et al.
Zhicheng Wang et al.
Photoacoustic imaging (PAI) commonly uses the delay-and-sum (DAS) algorithm, which is fast but prone to artifacts. This work introduces variance delay-and-sum (VDAS), a novel algorithm for circular-array PAI that utilizes signal variance as...
Robust spatial phase prediction from paired intensities using multi-scale wavelets and aberration sensing network [0.03%]
基于多尺度小波和波前误差感知网络的配对强度场下的鲁棒位相预测方法
Yihang Huang,Haitao Zhang,Yao He et al.
Yihang Huang et al.
Spatial Phase Prediction from intensity image without auxiliary sensors is a challenging task due to the compressed phase information and the increase in complexity with varying optical systems. Many advanced works focus primarily on the ad...
fNIRS reveals comparable reductions in cortical hyperconnectivity following once-daily and twice-daily rTMS in poststroke aphasia [0.03%]
利用fNIRS探索重复经颅磁刺激对卒中后失语症皮层高连接的减少作用
Chong Lu,Yizhen Liu,Yao Wang et al.
Chong Lu et al.
In clinical practice, there is a common assumption that more frequent intervention yields better outcomes for patients with post-stroke aphasia (PSA). This study investigated this by comparing the efficacy of once-daily versus twice-daily l...
Assessment of the angiogenic potential of xenografted tumors by biomedical imaging techniques [0.03%]
生物医学影像技术评估移植肿瘤的血管生成潜能
Irina Druzhkova,Anna Orlova,Pavel Subochev et al.
Irina Druzhkova et al.
Tumor angiogenesis promotes tumor growth, metastasis and disease progression. Different cancer types vary in their angiogenic potential, which may influence prognosis and response to therapy. In the present work, we established xenograft mo...
Automated lipid detection in spectroscopic optical coherence tomography using a weakly supervised deep learning network [0.03%]
基于弱监督深度学习网络的光谱光学相干层析血管内超声脂质斑块自动化识别方法
Jin Hwan Hwang,Woojin Lee,Jin Hyuk Kim et al.
Jin Hwan Hwang et al.
Reliable identification of lipid distribution is critical for assessing coronary vulnerability, yet conventional optical coherence tomography (OCT) lacks compositional specificity. Expanding OCT into the spectral information through spectro...
Synergistic microscopic platform for probing molecular interaction on mitochondria-lysosome contact membrane [0.03%]
一种用于探究线粒体溶酶体接触膜上分子相互作用的协同微平台
Hongfei Suo,Jiayu Zhou,Yao Lu et al.
Hongfei Suo et al.
In biomedicine, studies on dynamic interactions between mitochondria and lysosomes are critical for understanding cellular metabolism and disease mechanisms. Yet, the interaction mechanism on the molecular level is still unclear due to a la...
CC-DenseSTORM: deep learning enables colorimetry camera-based simultaneous two-color single-molecule localization microscopy with dense emitters [0.03%]
基于深度学习的双色单分子定位显微镜两色密集发射器光谱成像
Yaolong Li,Weibing Kuang,Zhengxia Wang et al.
Yaolong Li et al.
Colorimetry camera-based single-molecule localization microscopy (CC-STORM) employs a simple optical setup to facilitate the simultaneous imaging of two or more targets at the nanoscale, but it suffers from a high data rejection rate. A rec...
Metabolic imaging of Fragilariopsis cylindrus in polar night conditions using full-field optical transmission tomography (FFOTT) [0.03%]
基于全场光学透射层析成像的极夜条件下Fragilariopsis cylindrus代谢组学研究
Nathalie Joli,Claude Boccara,Benjamin Bailleul et al.
Nathalie Joli et al.
FFOTT is a non-invasive, non-destructive method of imaging that was found promising for a broad range of applications. We applied FFOTT to compare intracellular dynamic signals, a proxy for cellular metabolic activity. We investigated the m...
Simultaneous dual-analyte detection biosensor through a stacking-based ensemble machine learning approach: design and optimization [0.03%]
基于堆叠的集成机器学习方法的双分析物检测生物传感器的设计与优化
Kawsar Ahmed,Ruhul Amin,Md Mamun Ali et al.
Kawsar Ahmed et al.
In this paper, a photonic crystal fiber (PCF) surface plasmon resonance (SPR) sensor capable of detecting a wide range of refractive indices (RI) from 1.15 to 1.41 is designed and optimized using a stacking-based ensemble machine learning (...