44 citations · 109 across the 14 of their papers we have counts for
14 papers
Autonomous Electron Tomography Reconstruction with Machine Learning
William Millsaps, Jonathan Schwartz, Zichao Wendy Di +2
Modern electron tomography has progressed to higher resolution at lower doses by leveraging compressed sensing methods that minimize total variation (TV). However, these sparsity-e…
Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography
Jonathan Schwartz, Zichao Wendy Di, Yi Jiang +15
Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required fo…
Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
Saugat Kandel, Tao Zhou, Anakha V Babu +7
With the continuing advances in scientific instrumentation, scanning microscopes are now able to image physical systems with up to sub-atomic-level spatial resolutions and sub-pico…
A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation
Kevin Bui, Zichao Di
Ptychography, a prevalent imaging technique in fields such as biology and optics, poses substantial challenges in its reconstruction process, characterized by nonconvexity and larg…
Compact representations of structured BFGS matrices
Johannes J. Brust, Zichao, Di +2
For general large-scale optimization problems compact representations exist in which recursive quasi-Newton update formulas are represented as compact matrix factorizations. For pr…
Physics-Inspired Unsupervised Classification for Region of Interest in X-Ray Ptychography
Dergan Lin, Yi Jiang, Junjing Deng +1
X-ray ptychography allows for large fields to be imaged at high resolution at the cost of additional computational expense due to the large volume of data. Given limited informatio…
Imaging Atomic-Scale Chemistry from Fused Multi-Modal Electron Microscopy
Jonathan Schwartz, Zichao Wendy Di, Yi Jiang +9
Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electr…
Uncertainty quantification for ptychography using normalizing flows
Agnimitra Dasgupta, Zichao Wendy Di
Ptychography, as an essential tool for high-resolution and nondestructive material characterization, presents a challenging large-scale nonlinear and non-convex inverse problem; ho…
Low-Rank Tensor Regression for X-Ray Tomography
Sanket R. Jantre, Zichao Wendy Di
Tomographic imaging is useful for revealing the internal structure of a 3D sample. Classical reconstruction methods treat the object of interest as a vector to estimate its value.…
Simultaneous Reconstruction and Uncertainty Quantification for Tomography
Agnimitra Dasgupta, Carlo Graziani, Zichao Wendy Di
Tomographic reconstruction, despite its revolutionary impact on a wide range of applications, suffers from its ill-posed nature in that there is no unique solution because of limit…
Centroidal Voronoi Tessellation Based Methods for Optimal Rain Gauge Location Prediction
Zichao Wendy Di, Viviana Maggioni, Yiwen Mei +3
With more satellite and model precipitation data becoming available, new analytical methods are needed that can take advantage of emerging data patterns to make well informed predi…
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography
Harbir Antil, Zichao Di, Ratna Khatri
In this work we consider a generalized bilevel optimization framework for solving inverse problems. We introduce fractional Laplacian as a regularizer to improve the reconstruction…
Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach
Anthony P. Austin, Zichao Wendy Di, Sven Leyffer +1
Tomography can be used to reveal internal properties of a 3D object using any penetrating wave. Advanced tomographic imaging techniques, however, are vulnerable to both systematic…
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval
Samy Wu Fung, Zichao Di
Ptychography is a popular imaging technique that combines diffractive imaging with scanning microscopy. The technique consists of a coherent beam that is scanned across an object i…