NSLS-II   |   CFN   |   Brookhaven National Laboratory

Workshop 7: Data Challenges and Frontier of Analysis Techniques in X-ray Microscopy

Date: Tuesday, May 21, 2019

Organizer(s): Hanfei Yan (NSLS-II/BNL), Xianghui Xiao (NSLS-II/BNL), Mingyuan Ge (NSLS-II/BNL), Yong Chu (NSLS-II/BNL), Wah-Keat Lee (NSLS-II/BNL), Stuart Campbell (NSLS-II/BNL), Wei Xu (CSI/BNL)

Location: Computational Science (CSI) Bldg. 725


X-ray microscopy techniques measure spatially resolved chemical and physical quantities of a specimen on various length scales and are vital in studies of many heterogeneous systems. Their applications cover a broad range of scientific areas including energy storage, geoscience, biology, catalysis, material science and so on. In recent years x-ray microscopy has evolved to produce high dimensional dataset (3D, 4D and 5D) by combining position (2D or 3D) with time (in-situ/operando), spectroscopy (chemical information) and diffraction (stress/strain) measurements. Such complexity in nature of x-ray microscopy poses significant challenges in data management and analysis. Moreover, experimental data often contains contamination signals and noise, which make the task of data processing even more challenging. Efficient algorithms that can extract human-readable information in a real-time ma­nner is crucial for decision-making in an experiment.

This workshop will have four sessions covering, 1) data challenges in imaging and microscopy applications, 2) advanced tomographic data acquisition and reconstruction techniques, 3) multimodal imaging/microscopy data analysis, and 4) data visualization. We will invite speakers working in the frontiers of these fields to discuss current development as well as those who have most challenging demands. The workshop will also have dedicated discussion session for each topic. The goals are discussing current states and identify the desires and challenges to be addressed in the near future.

StartsEndsList of Speakers
11:30 AM12:20 PM Lunch Break, (provided)
12:20 PM12:30 PM Welcome and Introduction, Organizers
12:30 PM1:00 PM Karen Chen-Wiegart, Stony Brook University / BNL
Opportunities and challenges of imaging data management, analysis and visualization with synchrotron x-ray microscopy
1:00 PM1:30 PM Stuart Campbell, Brookhaven National Laboratory
Trying to survive a data tidal wave - current and future plans
1:30 PM2:00 PM Doga Gursoy, Argonne National Laboratory
Lensless imaging through integrated data analysis
2:00 PM2:30 PM Dilworth Parkinson, Lawrence Berkeley National Laboratory
Analysis automation and machine learning for imaging beamlines at the ALS
2:30 PM3:00 PM Review and Discussion, All
3:00 PM3:20 PM Coffee Break, (provided)
Group photo
3:20 PM3:50 PM Klaus Mueller, Stony Brook University
Applications of deep neural networks in computed tomography reconstruction
3:50 PM4:20 PM Yijin Liu, SLAC National Accelerator Facility
Understand the functionally important role of the minority phases in Li-ion batteries through imaging data mining
4:20 PM4:50 PM Sungsoo Ha, Brookhaven National Laboratory
Utilizing visualization and deep learning to understand scientific x-ray images
4:50 PM5:20 PM William Schroeder, Kitware, Inc
Frontiers in data-driven science: immersive workflows for discovery and innovation
5:20 PM5:50 PM Review and Discussion, All