Adaptive Regularization For Three-Dimensional Optical Diffraction Tomography

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This work presents a dual plasmo-photonic branch Mach-Zehnder interferometer refractive index sensor integrated on a Si3N4 platform, with both the sensor and reference arms hosting identical aluminum plasmonic metal stripes. Experimental evaluation of the ...

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The present work deals with monochromatic wavefront aberrations in optical systems without symmetries. The treatment begins with a class of systems characterized by misaligned spherical surfaces whose behavior is analyzed using the wavefront aberration exp ...

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Multi-component T2 relaxometry allows probing tissue microstructure by assessing compartment-specific T2 relaxation times and water fractions, including the myelin water fraction. Non-negative least squares (NNLS) with zero-order Tikhonov regularization is ...

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Polarization of light has been widely used as a contrast mechanism in two-dimensional (2D) microscopy and also in some three-dimensional (3D) imaging modalities. In this paper, we report the 3D tomographic reconstruction of the refractive index (RI) tensor ...

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A broad class of imaging modalities involve the resolution of an inverse-scattering problem. Among them, three-dimensional optical diffraction tomography (ODT) comes with its own challenges. These include a limited range of views, a large size of the sampl ...

This paper deals with the theory of primary aberrations for perturbed double-plane symmetric optical systems consisting of a combination of tilted and decentered surfaces and a circular pupil. First, the analytical expressions describing the full field beh ...

We accurately reconstruct three-dimensional (3-D) refractive index (RI) distributions from highly ill-posed two-dimensional (2-D) measurements using a deep neural network (DNN). Strong distortions are introduced on reconstructions obtained by the Wolf tran ...

Adaptive Regularization For Three-Dimensional Optical Diffraction Tomography

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Improving Limit-of-Detection in High-Sensitivity Plasmo-Photonic Mach-Zehnder interferometer refractive index sensors

A Neural-Network-Based Convex Regularizer for Inverse Problems

Nonlinear Inverse Problems in Quantitative Phase Imaging

Advanced Techniques in Optical Diffraction Tomography

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

The new X-ray/visible microscopy MAXWELL technique for fast three-dimensional nanoimaging with isotropic resolution

A Cavity-Microscope for Quantum Simulations with Locally-Controllable All-to-All Interactions

Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shoulders

Adaptive optics enables multimode 3D super-resolution microscopy via remote focusing

ON WAVEFRONT ABERRATIONS IN ASYMMETRIC AND MULTIPLE APERTURE OPTICAL SYSTEMS

Spectral Estimators for High-Dimensional Matrix Inference

On the interplay effect for moving targets treated with the CyberKnife static tracking system

Comparison of non-parametric T2 relaxometry methods for myelin water quantification

X-ray tensor tomography for small-grained polycrystals with strong texture

Polarization-sensitive optics diffraction tomography

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model

Full field dependence of primary aberrations in perturbed double-plane symmetric systems with a circular pupil

Three-dimensional tomography of red blood cells using deep learning