12 papers
XRF-to-Optical Field-of-View Localization with Vision Language Models
Xiangyu Yin, Tatjana Paunesku, Letonia Copeland-Hardin +7
Registering images acquired with different microscopy modalities is essential for relating complementary measurements of the same specimen. In correlative X-ray fluorescence (XRF)…
Acquisition Geometry-Assisted Whole-Group Localization of X-ray Fluorescence Maps in Optical Microscopy Images
Xiangyu Yin, Tatjana Paunesku, Letonia Copeland-Hardin +7
X-ray fluorescence (XRF) microscopy maps elemental distributions, while optical microscopy can provide complementary morphological context. Localizing XRF fields of view (FOVs) in…
Edge-Aligned Beam Placement in Scanning Probe Tomography via Reconstruction-Free Sequential Design of Experiments
San Dinh, Zichao Wendy Di, Matt Menickelly
In X-ray scanning probe tomography, reconstruction quality generally improves with larger numbers of projections. However, additional projections increase experiment costs, acquisi…
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…
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
Canberk Ekmekci, Tekin Bicer, Zichao Wendy Di +2
Ptychography is a scanning coherent diffractive imaging technique that enables imaging nanometer-scale features in extended samples. One main challenge is that widely used iterativ…
Homomorphic data compression for real time photon correlation analysis
Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii +8
The construction of highly coherent x-ray sources has enabled new research opportunities across the scientific landscape. The maximum raw data rate per beamline now exceeds 40 GB/s…