NSLS-II   |   CFN   |   Brookhaven National Laboratory

Workshop 1: Multi-dimensional and Multi-modal X-ray Imaging and Analysis

Date: Monday, May 15, 2017

Organizer(s): Yu-chen Karen Chen-Wiegart, ycchen@bnl.gov (Stony Brook University; NSLS-II, BNL), Lisa Miller, lmiller@bnl.gov (NSLS-II, BNL), Juergen Thieme, jthieme@bnl.gov (NSLS-II, BNL), Yong Chu, ychu@bnl.gov (NSLS-II, BNL), Thomas Caswell, tcaswell@bnl.gov (NSLS-II, BNL), Stuart Campbell, scampbell@bnl.gov (NSLS-II, BNL)

Location: Berkner Hall, Bldg. 488, Conference Room B

Description:

Multi-dimensional and multi-modal imaging is a powerful research approach. Multi-dimensional imaging includes techniques such as tomography, spectroscopic microscopy, or in situ/operando imaging, enabling the characterization of samples in 3D spatially, with chemical sensitivity, and/or in a time-resolved fashion.  Multi-modal imaging combines imaging techniques across different length-scales with different contrast mechanisms or with other interaction mechanisms, such as diffraction or scattering. This can provide unprecedented analysis of samples on multi-length scales or with enriched information.

This powerful research approach, however, faces challenges in particular on data analysis. For the complex nature of the multi-dimensional and multi-modal imaging, data collection, analysis, quantification and visualization tools need to be further developed in the scientific community and specifically at NSLS-II. Focusing on synchrotron x-ray imaging, this workshop aims to bring together the external experts on four specific themes and to facilitate in-depth discussions on these challenges with NSLS-II and the user community: 1) Grand challenges on multi-dimensional and multi-modal imaging and analysis, 2) Improvement on multi-dimensional and multi-modal data collection and pre-processing, 3) Multi-modal contrast & length scale registration and correlation, and 4) Quantification, visualization and modeling in multi-dimensional and multi-modal imaging.

StartsEndsList of Speakers
8:30 AM8:50 AM
Continental Breakfast (included)
8:50 AM9:00 AM Karen Chen-Wiegart, Stony Brook University and Brookhaven National Laboratory
Introduction/Welcome to the Workshop
  
Theme I: Grand Challenges on Multi-dimensional and Multi-modal Imaging and Analysis
9:00 AM9:30 AM Stuart Campbell, Brookhaven National Laboratory
Grand Challenges of Multi-dimensional and Multi-modal Imaging and Analysis at NSLSII
9:30 AM10:00 AM Mark Basham, Diamond Light Source Ltd.
Multi-dimensional and Multi-modal Imaging and Analysis at the Diamond Light Source
10:00 AM10:30 AM Lisa Miller, Brookhaven National Laboratory
Discussions on Theme I
10:30 AM11:00 AM
Morning Coffee Break (included)
  
Theme II: Improvement on Multi-dimensional and Multi-modal Data Collection and Pre-processing
11:00 AM11:30 AM Patrick La Riviere, University of Chicago
X-ray Fluorescence Computed Tomography: Novel Reconstruction Algorithms and Acquisition Strategies
11:30 AM12:00 PM Doga Gursoy, Argonne National Laboratory
Data Alignment in X-ray Nano-tomography
12:00 PM12:30 PM Yong Chu, Brookhaven National Laboratory
Discussions on Theme II
12:30 PM1:30 PM
Lunch (included)
  
Theme III: Multi-Modal Contrast & Length Scale Registration and Correlation
1:30 PM2:00 PM Matthew McCormick, Kitware, Inc.
An Overview of Multi-dimensional, Multi-modal, Image Registration Methods and their Application with the Insight Toolkit (ITK) and Tomviz
2:00 PM2:30 PM Yijin Liu, Stanford Synchrotron Radiation Lightsource
Data Mining in Correlative Multi-modal X-ray Microscopy
2:30 PM3:00 PM Stuart Campbell, Brookhaven National Laboratory
Discussions on Theme III
3:00 PM3:30 PM
Afternoon Coffee Break (included) and Group Photo
  
Theme IV: Quantification, Visualization and Modeling in Multi-dimensional and Multi-modal Imaging
3:30 PM4:00 PM Mike Marsh, Object Research Systems, Inc.
Easy Integrated Analysis and Visualization of Multi-modal and Multi-dimensional Image and Spectral Data with Dragonfly
4:00 PM4:30 PM Daniela Ushizima, Lawrence Berkeley National Laboratory
High Throughput Reverse Image Search with pyCBIR: Quantification, Search, Retrieval and Ranking for Multi-modal Imaging
4:30 PM5:00 PM Thomas Caswell, Brookhaven National Laboratory
Discussions on Theme IV
5:00 PM5:20 PM Karen Chen-Wiegart, Stony Brook University and Brookhaven National Laboratory
Conclusion Remark and Summary from Discussions
  
Workshop 1 Summary