光学
断层摄影术
断层重建
全息术
显微镜
分辨率(逻辑)
衍射层析成像
衍射
摄影术
图像分辨率
相位恢复
光学(聚焦)
焦点深度(构造)
傅里叶变换
迭代重建
景深
材料科学
物理
计算机科学
人工智能
地质学
俯冲
量子力学
古生物学
构造学
作者
Chao Zuo,Jiasong Sun,Jiaji Li,Anand Asundi,Qian Chen
标识
DOI:10.1016/j.optlaseng.2020.106003
摘要
We report a computational 3D microscopy technique, termed Fourier ptychographic diffraction tomography (FPDT), that iteratively stitches together numerous variably illuminated, low-resolution images acquired with a low-numerical aperture (NA) objective in 3D Fourier space to create a wide field-of-view (FOV), high-resolution, depth-resolved complex refractive index (RI) image across large volumes. Unlike conventional optical diffraction tomography (ODT) approaches that rely on controlled bright-field illumination, holographic phase measurement, and high-NA objective detection, FPDT employs tomographic RI reconstruction from low-NA intensity-only measurements. In addition, FPDT incorporates high-angle dark-field illuminations beyond the NA of the objective, significantly expanding the accessible object frequency. With FPDT, we present the highest-throughput ODT results with 390 nm lateral resolution and 899 nm axial resolution across a 10 × FOV of 1.77 mm2 and a depth of focus of ~ 20 µm. Billion-voxel 3D tomographic imaging results of biological samples establish FPDT as a powerful non-invasive and label-free tool for high-throughput 3D microscopy applications.
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