113 citations · 281 across the 11 of their papers we have counts for
13 papers
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration
Yan Liu, Jonathan Dong, Thanh-An Pham +2
Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conv…
Optical Diffraction Tomography Meets Fluorescence Localization Microscopy
Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez +1
We show that structural information can be extracted from single molecule localization microscopy (SMLM) data. More precisely, we reinterpret SMLM data as the measures of a phasele…
A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction
Tao Hong, Thanh-an Pham, Irad Yavneh +1
Over the years, computational imaging with accurate nonlinear physical models has garnered considerable interest due to its ability to achieve high-quality reconstructions. However…
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration
Yan Liu, Jonathan Dong, Thanh-an Pham +2
Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conv…
Phase Retrieval: From Computational Imaging to Machine Learning
Jonathan Dong, Lorenzo Valzania, Antoine Maillard +3
Phase retrieval consists in the recovery of a complex-valued signal from intensity-only measurements. As it pervades a broad variety of applications, many researchers have striven…
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
Pakshal Bohra, Thanh-an Pham, Jonathan Dong +1
Most modern imaging systems incorporate a computational pipeline to infer the image of interest from acquired measurements. The Bayesian approach to solve such ill-posed inverse pr…
Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver
Tao Hong, Thanh-an Pham, Eran Treister +1
Diffraction tomography is a noninvasive technique that estimates the refractive indices of unknown objects and involves an inverse-scattering problem governed by the wave equation.…
Optimal-transport-based metric for SMLM
Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla +2
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is avai…
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
Fangshu Yang, Thanh-an Pham, Nathalie Brandenberg +3
Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately,…
Three-Dimensional Optical Diffraction Tomography with Lippmann-Schwinger Model
Thanh-an Pham, Emmanuel Soubies, Ahmed Ayoub +3
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 c…
Method for Assessing the Fidelity of Optical Diffraction Tomography Reconstruction Methods
Ahmed B. Ayoub, Thanh-An Pham, Joowon Lim +2
We use a spatial light modulator in a diffraction tomographic system to assess the accuracy of different refractive index reconstruction algorithms. Optical phase conjugation princ…
Pocket Guide to Solve Inverse Problems with GlobalBioIm
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann +5
GlobalBioIm is an open-source MATLAB library for solving inverse problems. The library capitalizes on the strong commonalities between forward models to standardize the resolution…
Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography
Emmanuel Soubies, Thanh-An Pham, Michael Unser
Optical diffraction tomography relies on solving an inverse scattering problem governed by the wave equation. Classical reconstruction algorithms are based on linear approximations…