1 citations · 1 across the 2 of their papers we have counts for
6 papers
Structured Random Models for Phase Retrieval with Optical Diffusers
Zhiyuan Hu, Fakhriyya Mammadova, Julián Tachella +2
Phase retrieval is a nonlinear inverse problem that arises in a wide range of imaging modalities, from electron microscopy to Fourier ptychography. In particular, the reconstructio…
A global inverse-problem approach to quantitative photo-switching optoacoustic mesoscopy
Yan Liu, Jonathan Chuah, Michael Unser +1
In this paper, we propose a global framework that includes a detailed model of the photo-switching and acoustic processes for photo-switching optoacoustic mesoscopy, based on the u…
Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects
Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy +3
Information propagation characterizes how input correlations evolve across layers in deep neural networks. This framework has been well studied using mean-field theory, which assum…
Sensitivity-Aware Density Estimation in Multiple Dimensions
Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser
We formulate an optimization problem to estimate probability densities in the context of multidimensional problems that are sampled with uneven probability. It considers detector s…
Revisiting PSF models: unifying framework and high-performance implementation
Yan Liu, Vasiliki Stergiopoulou, Jonathan Chuah +5
Localization microscopy often relies on detailed models of point spread functions. For applications such as deconvolution or PSF engineering, accurate models for light propagation…
Perturbative Fourier Ptychographic Microscopy for Fast Quantitative Phase Imaging
Martin Zach, Kuan-Chen Shen, Ruiming Cao +3
In computational phase imaging with a microscope equipped with an array of light emitting diodes as illumination unit, conventional Fourier ptychographic microscopy achieves high r…