Despite significant advancements in microstructural characterization methods, the
interconnections between nanostructure and morphological diversity of calcium-silicate …

Recent advances in label-free histology promise a new era for real-time diagnosis in
neurosurgery. Deep learning using autofluorescence is promising for tumor classification …

Fiber-bundle endomicroscopy has several recognized drawbacks, the most prominent being
the honeycomb effect. We developed a multi-frame super-resolution algorithm exploiting …

Optical diffraction tomography measures the three-dimensional refractive index map of a
specimen and visualizes biochemical phenomena at the nanoscale in a non-destructive …

摘要分焦平面(DoFP) 偏振相机的相邻像元具有不同的偏振方向, 会导致成像分辨率的损失.
双线性插值和滑窗算法能够提高成像分辨率, 因此, 对双线性插值算法和滑窗算法的数学关系 …

While fiber bundles attract much interest in optics, their resolution is limited by the individual
fiber size, which can be as large as a wavelength λ for common fiber optics materials. In …

A miniaturized endoscopic laser system with laser steering has great potential to expand the
application of minimally invasive laser treatment for micro-lesions inside narrow organs. The …

Recent years have witnessed the tremendous development of fusing fiber-optic imaging with
supervised deep learning to enable high-quality imaging of hard-to-reach areas …

We propose a deep learning based method to estimate high-resolution images from multiple
fiber bundle images. Our approach first aligns raw fiber bundle image sequences with a …

摘要光纤成像技术借助光纤的微小尺寸与柔韧性能实现对狭窄区域的高分辨率成像,
在生物医学, 工业检测等领域都有广泛应用. 然而, 在基于多芯或多模光纤的成像系统中 …