Roadmap on digital holography
This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …
activities in the field of digital holography. The paper consists of a series of 25 sections from …
[HTML][HTML] Deep holography
G Situ - Light: Advanced Manufacturing, 2022 - light-am.com
With the explosive growth of mathematical optimization and computing hardware, deep
neural networks (DNN) have become tremendously powerful tools to solve many …
neural networks (DNN) have become tremendously powerful tools to solve many …
Roadmap on wavefront sha** and deep imaging in complex media
The last decade has seen the development of a wide set of tools, such as wavefront
sha**, computational or fundamental methods, that allow us to understand and control …
sha**, computational or fundamental methods, that allow us to understand and control …
DBlink: Dynamic localization microscopy in super spatiotemporal resolution via deep learning
Single-molecule localization microscopy (SMLM) has revolutionized biological imaging,
improving the spatial resolution of traditional microscopes by an order of magnitude …
improving the spatial resolution of traditional microscopes by an order of magnitude …
Adaptive 3D descattering with a dynamic synthesis network
Deep learning has been broadly applied to imaging in scattering applications. A common
framework is to train a descattering network for image recovery by removing scattering …
framework is to train a descattering network for image recovery by removing scattering …
High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model
We propose a novel intensity diffraction tomography (IDT) reconstruction algorithm based on
the split-step non-paraxial (SSNP) model for recovering the 3D refractive index (RI) …
the split-step non-paraxial (SSNP) model for recovering the 3D refractive index (RI) …
Recovery of continuous 3d refractive index maps from discrete intensity-only measurements using neural fields
Intensity diffraction tomography (IDT) refers to a class of optical microscopy techniques for
imaging the three-dimensional refractive index (RI) distribution of a sample from a set of two …
imaging the three-dimensional refractive index (RI) distribution of a sample from a set of two …
Physics-guided loss functions improve deep learning performance in inverse scattering
Solving electromagnetic inverse scattering problems (ISPs) is challenging due to the
intrinsic nonlinearity, ill-posedness, and expensive computational cost. Recently, deep …
intrinsic nonlinearity, ill-posedness, and expensive computational cost. Recently, deep …
Physics-assisted generative adversarial network for X-ray tomography
X-ray tomography is capable of imaging the interior of objects in three dimensions non-
invasively, with applications in biomedical imaging, materials science, electronic inspection …
invasively, with applications in biomedical imaging, materials science, electronic inspection …
Large-scale holographic particle 3D imaging with the beam propagation model
We develop a novel algorithm for large-scale holographic reconstruction of 3D particle
fields. Our method is based on a multiple-scattering beam propagation method (BPM) …
fields. Our method is based on a multiple-scattering beam propagation method (BPM) …