[HTML][HTML] On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
[HTML][HTML] Deep-learning computational holography: A review
Deep learning has been developing rapidly, and many holographic applications have been
investigated using deep learning. They have shown that deep learning can outperform …
investigated using deep learning. They have shown that deep learning can outperform …
Snapshot polarization-sensitive holography for detecting microplastics in turbid water
Microplastic (MP) pollution is a serious environmental problem, which can severely harm the
earth's ecosystems and human health. However, in situ characterization of MP particles …
earth's ecosystems and human health. However, in situ characterization of MP particles …
[HTML][HTML] High-throughput microplastic assessment using polarization holographic imaging
Microplastic (MP) pollution has emerged as a global environmental concern due to its
ubiquity and harmful impacts on ecosystems and human health. MP assessment has …
ubiquity and harmful impacts on ecosystems and human health. MP assessment has …
Untrained deep network powered with explicit denoiser for phase recovery in inline holography
Single-shot reconstruction of the inline hologram is highly desirable as a cost-effective and
portable imaging modality in resource-constrained environments. However, the twin image …
portable imaging modality in resource-constrained environments. However, the twin image …
[HTML][HTML] Comprehensive tool for a phase compensation reconstruction method in digital holographic microscopy operating in non-telecentric regime
Quantitative phase imaging (QPI) via Digital Holographic microscopy (DHM) has been
widely applied in material and biological applications. The performance of DHM …
widely applied in material and biological applications. The performance of DHM …
[HTML][HTML] Microplastic pollution assessment with digital holography and zero-shot learning
Microplastic (MP) pollution poses severe environmental problems. Developing effective
imaging tools for the identification and analysis of MPs is a critical step to curtail their …
imaging tools for the identification and analysis of MPs is a critical step to curtail their …
DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging
Digital holography is a 3D imaging technique by emitting a laser beam with a plane
wavefront to an object and measuring the intensity of the diffracted waveform, called …
wavefront to an object and measuring the intensity of the diffracted waveform, called …
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 …
[HTML][HTML] Single-frame transmission and phase imaging using off-axis holography with undetected photons
Imaging with undetected photons relies upon nonlinear interferometry to extract the spatial
image from an infrared probe beam and reveal it in the interference pattern of an easier-to …
image from an infrared probe beam and reveal it in the interference pattern of an easier-to …