11 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…
Adaptive Beam Selection for Efficient Scanning Probe Tomography
San Dinh, Zichao Wendy Di, Matt Menickelly
In X-ray tomography, reconstruction quality generally improves with larger numbers of projections. However, more projections increase experiment costs, acquisition time and the rad…
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…
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…
Stochastic Multigrid Method for Blind Ptychographic Phase Retrieval
Borong Zhang, Junjing Deng, Yi Jiang +1
We present eMAGPIE (extended Multilevel-Adaptive-Guided Ptychographic Iterative Engine), a stochastic multigrid method for blind ptychographic phase retrieval that jointly recovers…