Search Results for author: Thanh-an Pham

Found 8 papers, 2 papers with code

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration

no code implementations19 Jul 2023 Yan Liu, Jonathan Dong, Thanh-an Pham, Francois Marelli, Michael Unser

Then, we introduce a calibration algorithm that recovers the unknown system parameters fed into the final 3D iterative reconstruction algorithm for a distortion-free volumetric image.

Optical Diffraction Tomography Meets Fluorescence Localization Microscopy

no code implementations18 Jul 2023 Thanh-an Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser

We show that structural information can be extracted from single molecule localization microscopy (SMLM) data.

Position

Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors

no code implementations18 Mar 2022 Pakshal Bohra, Thanh-an Pham, Jonathan Dong, Michael Unser

In this work, we present a Bayesian reconstruction framework for nonlinear imaging models where we specify the prior knowledge on the image through a deep generative model.

Retrieval

Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver

no code implementations8 Jul 2021 Tao Hong, Thanh-an Pham, Eran Treister, Michael Unser

In this work, we introduce instead a Helmholtz-based nonlinear model for inverse scattering.

Optimal-transport-based metric for SMLM

no code implementations26 Oct 2020 Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser

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 available.

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

1 code implementation11 Jul 2017 Emmanuel Soubies, Thanh-an Pham, Michael Unser

Optical diffraction tomography relies on solving an inverse scattering problem governed by the wave equation.

Computational Engineering, Finance, and Science Numerical Analysis Data Analysis, Statistics and Probability Optics

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