The competition between resolution and the imaging field of view is a long-standing problem
in traditional imaging systems—they can produce either an image of a small area with fine …

Ptychography is an enabling microscopy technique for both fundamental and applied
sciences. In the past decade, it has become an indispensable imaging tool in most X-ray …

Most of the neural networks proposed so far for computational imaging (CI) in optics employ
a supervised training strategy, and thus need a large training set to optimize their weights …

Fourier ptychographic microscopy probes label-free samples from multiple angles and
achieves super resolution phase-contrast imaging according to a synthetic aperture …

The field of computational imaging has made significant advancements in recent years, yet it
still faces limitations due to the restrictions imposed by traditional computational techniques …

Over the past decade, the field of holography has gained significant ground due to advances
in computational imaging. However, the utilization of computational tools is hampered by the …

Fourier ptychographic microscopy (FPM) theoretically provides a solution to the trade-off
between spatial resolution and field of view (FOV), and has promising prospects in digital …

Fourier ptychography uses a phase retrieval algorithm to reconstruct a high-resolution
image with a wide field-of-view. Reflective-type Fourier ptychographic microscopy (FPM) is …

摘要近年来, 深度学习技术的爆发式发展引领了机器学习的又一次浪潮. 深度神经网络具备抽象
特征的高效识别与提取能力, 强大的非线性拟合能力, 抗干扰鲁棒性及非凡的泛化能力 …

Fourier Ptychography probes the sample from different directions to achieve label-free
quantitative phase imaging with a large space-bandwidth product. However, special …