7 papers · 1 filter
Stochastic Multigrid Method for Blind Ptychography
Borong Zhang, Junjing Deng, Yi Jiang +1
Blind ptychography reconstructs an object and a probe from diffraction measurements collected over overlapping scan regions. We introduce a reconstruction framework with two comple…
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction
Chengru Eric Zou, Elle Buser, Zichao Wendy Di +1
Recovering high-resolution structural and compositional information from coherent X-ray measurements involves solving coupled, nonlinear, and ill-posed inverse problems. Ptychograp…
Optimizing Paths for Adaptive Fly-Scan Microscopy: An Extended Version
Yu Lu, Thomas F. Lynn, Ming Du +2
In x-ray microscopy, traditional raster-scanning techniques are used to acquire a microscopic image in a series of step-scans. Alternatively, scanning the x-ray probe along a conti…
Structured Column Subset Selection for Bayesian Optimal Experimental Design
Hugo Díaz, Arvind K. Saibaba, Srinivas Eswar +2
We consider optimal experimental design (OED) for Bayesian inverse problems, where the experimental design variables have a certain multiway structure. Given different experime…
MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
Borong Zhang, Qin Li, Zichao Wendy Di
We introduce MAGPIE (Multilevel-Adaptive-Guided Ptychographic Iterative Engine), a stochastic multigrid solver for the ptychographic phase-retrieval problem. The ptychographic phas…
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
Anh Van Nguyen, Diego Klabjan, Minseok Ryu +2
Low-rank tensor estimation offers a powerful approach to addressing high-dimensional data challenges and can substantially improve solutions to ill-posed inverse problems, such as…
FIRM: Federated Image Reconstruction using Multimodal Tomographic Data
Geunyeong Byeon, Minseok Ryu, Zichao Wendy Di +1
We propose a federated algorithm for reconstructing images using multimodal tomographic data sourced from dispersed locations, addressing the challenges of traditional unimodal app…