no code implementations • 19 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.
no code implementations • 18 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.
no code implementations • 18 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.
no code implementations • 8 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.
no code implementations • 26 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.
no code implementations • 24 Sep 2020 • Fangshu Yang, Thanh-an Pham, Nathalie Brandenberg, Matthias P. Lutolf, Jianwei Ma, Michael Unser
Our work paves the way to reliable phase imaging of thick and complex samples with QPI.
1 code implementation • 19 Dec 2018 • Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-an Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser
GlobalBioIm is an open-source MATLAB library for solving inverse problems.
Mathematical Software
1 code implementation • 11 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