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Concept, implementations and applications of Fourier ptychography
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 …
in traditional imaging systems—they can produce either an image of a small area with fine …
Optical ptychography for biomedical imaging: recent progress and future directions
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 …
sciences. In the past decade, it has become an indispensable imaging tool in most X-ray …
Phase imaging with an untrained neural network
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 …
a supervised training strategy, and thus need a large training set to optimize their weights …
FPM-WSI: Fourier ptychographic whole slide imaging via feature-domain backdiffraction
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 …
between spatial resolution and field of view (FOV), and has promising prospects in digital …
∂ H ∂H: Differentiable Holography
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 …
in computational imaging. However, the utilization of computational tools is hampered by the …
Differentiable imaging: A new tool for computational optical imaging
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 …
still faces limitations due to the restrictions imposed by traditional computational techniques …
Deep learning-based, misalignment resilient, real-time Fourier Ptychographic Microscopy reconstruction of biological tissue slides
Fourier ptychographic microscopy probes label-free samples from multiple angles and
achieves super resolution phase-contrast imaging according to a synthetic aperture …
achieves super resolution phase-contrast imaging according to a synthetic aperture …
Reflective Fourier ptychographic microscopy using a parabolic mirror
H Lee, BH Chon, HK Ahn - Optics Express, 2019 - opg.optica.org
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 …
image with a wide field-of-view. Reflective-type Fourier ptychographic microscopy (FPM) is …
Forward imaging neural network with correction of positional misalignment for Fourier ptychographic microscopy
Fourier ptychographic microscopy (FPM) is a computational imaging technology used to
achieve high-resolution imaging with a wide field-of-view. The existing methods of FPM …
achieve high-resolution imaging with a wide field-of-view. The existing methods of FPM …
BlindNet: an untrained learning approach toward computational imaging with model uncertainty
The solution of an inverse problem in computational imaging (CI) often requires the
knowledge of the physical model and/or the object. However, in many practical applications …
knowledge of the physical model and/or the object. However, in many practical applications …