Super-resolution optical imaging is crucial to the study of cellular processes. Current super-resolution fluorescence microscopy is restricted by the need of special fluorophores or sophisticated optical systems, or long acquisition and computational times. In this work, we present a deep-learning-based super-resolution technique of confocal microscopy. We devise a two-channel attention network (TCAN), which takes advantage of both spatial representations and frequency contents to learn a more precise mapping from low-resolution images to high-resolution ones. This scheme is robust against changes in the pixel size and the imaging setup, enabling the optimal model to generalize to different fluorescence microscopy modalities unseen in the training set. Our algorithm is validated on diverse biological structures and dual-color confocal images of actin-microtubules, improving the resolution from ~ 230 nm to ~ 110 nm. Last but not least, we demonstrate live-cell super-resolution imaging by revealing the detailed structures and dynamic instability of microtubules.

以Nd∶YAG、Cr∶Nd∶YAG和Ce∶Nd∶YAG三种激光材料为研究对象，采取以空间应用和地面应用为导向的两种太阳光谱模型，计算了太阳辐射光谱与材料吸收光谱之间的重叠效率。将激光材料的吸收系数引入重叠效率，分析了经吸收系数修正后，激光材料的太阳光谱匹配效率随吸收长度的变化关系。当接近光谱匹配效率极限值时，地面太阳光谱模型下Nd∶YAG、Cr∶Nd∶YAG和Ce∶Nd∶YAG所需要的吸收长度分别为6.5 cm、4.4 cm和3.7 cm，空间太阳光谱模型下所需要的吸收长度分别为7.3 cm、4.3 cm和3.8 cm，所研究的吸收长度为激光材料的长度参数设计提供了可供参考的最大值。同时Ce∶Nd∶YAG晶体计算出的长度最短，预计泵浦光在该材料中传输时引入的散射损耗将最小，因此以Ce∶Nd∶YAG晶体作为激光材料，有望进一步提高和改善太阳光泵浦激光器的输出性能。

鉴于三维点云缺少颜色信息和光学图像缺少空间信息，提出一种基于激光雷达与相机自动标定的融合方法，融合后的数据兼有点云的空间信息和光学图像的颜色纹理信息。首先利用平面标定板对激光雷达和光学相机进行分步式自动标定，其次通过共线方程建立坐标关系，将光学图像的颜色纹理信息赋予点云进行融合并进行可视化。实验结果表明：所提方法在提高自动化程度的同时也在一定程度上提高了融合精度；与基于人工匹配的标定融合方法相比，所提方法的精度提升了51.7%；与基于梯形棋盘格标定板的标定融合方法相比，所提方法的精度提升了36.4%。从多角度观测可视化结果，所提方法都能从颜色和空间效果方面更好地还原真实场景。

Photodynamic therapy (PDT) has become an attractive tumor treatment modality because of its noninvasive feature and low side effects. However, extreme hypoxia inside solid tumors severely impedes PDT therapeutic outcome. To overcome this obstacle, various strategies have been developed recently. Among them, in situ oxygen generation, which relies on the decomposition of tumor endogenous H₂O₂, and oxygen delivery tactic using high oxygen loading capacity of hemoglobin or perfluorocarbons, have been widely studied. The in situ oxygen generation strategy has high specificity to tumors, but its oxygen-generating efficiency is limited by the intrinsically low tumor H₂O₂ level. In contrast, the oxygen delivery approach holds advantage of high oxygen loading efficiency, nevertheless lacks tumor specificity. In this work, we prepared a nanoemulsion system containing H₂O₂-responsive catalase, highly efficient oxygen carrier perfluoropolyether (PFPE), and a near-infrared (NIR) light activatable photosensitizer IR780, to combine the high tumor specificity of the in situ oxygen generation strategy and the high efficiency of the oxygen delivery strategy. This concisely prepared nanoplatform exhibited enhanced and H₂O₂-controllable production of singlet oxygen under light excitation, satisfactory cytocompatibility, and ability to kill cancer cells under NIR light excitation. This highlights the potential of this novel nanoplatform for highly efficient and selective NIR light mediated PDT against hypoxic tumors. This research provides new insight into the design of intelligent nanoplatform for relieving tumor hypoxia and enhancing the oxygen-dependent PDT effects in hypoxic tumors.

现有存储转发(SnF)调度方法的计算复杂度高、状态维护难度大, 严重制约了其在大数据传输领域的应用, 且传统全局建模导致调度问题中出现大量冗余状态。针对此问题, 提出了一种基于时移多层图(TS-MLG)的网络状态融合调度方法。该方法通过对预选路径的状态融合, 减少了冗余状态, 提高了算法的调度效率。仿真结果表明: 相比传统调度方法, 该方法的计算时间短、调度性能好, 且状态维护数量少, 能够为大规模网络提供实时、高效的调度服务。

众所周知, 柔性信息显示将在未来的光电应用中发挥重要作用。然而, 由于电极材料和柔性衬底的选择有限, 制备高效、稳定的柔性发光二极管仍然存在巨大的挑战。以光聚合物作为柔性衬底、CsPbBr3量子点作为发光层, 成功地制备了柔性钙钛矿发光二极管。为了改善电子的注入和传输, 采用Ag作阴极。结果表明, 高柔性的钙钛矿发光二极管的最高亮度为10 325 cd/m2且具有高色纯度(FWHM=19 nm)。此外, 制备的钙钛矿发光二极管具有良好的柔性和机械延展性。在大约180°的弯曲角度下反复弯曲100次后, 仍然保持着良好的器件性能。该研究为未来柔性显示器的应用奠定了研究基础。