Computational Microscopy Tutorials - IPAM

Computational Microscopy Tutorials

Part of the Long Program Computational Microscopy
September 13 - 16, 2022

Schedule

All times in this Schedule are Pacific Time (PT)

Tuesday, September 13, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-10:15
Jianwei (John) Miao (University of California, Los Angeles (UCLA))
Coherent Diffractive Imaging: A Unification of Microscopy, Diffraction and Computation
10:15-10:45
Break
10:45-12:00
Peter Binev (University of South Carolina)
Modeling in Electron Microscopy

Afternoon Session

12:00-12:30
Core Orientation with IPAM Staff
12:00-14:00
Lunch (on your own)
14:00-15:15
Deanna Needell (University of California, Los Angeles (UCLA))
Using Algebraic Factorizations for Interpretable Learning
15:15-15:45
Break
15:45-17:00
Mahdi Soltanolkotabi (University of Southern California (USC))
Machine Learning and Computational Imaging

Wednesday, September 14, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-10:15
Angus Kirkland (University of Oxford)
Making every electron count: Strategies for quantitative imaging and reconstruction from high speed and low nose data
10:15-10:45
Break
10:45-12:00
Stanley Osher (University of California, Los Angeles (UCLA))
Variational Methods for Computational Microscopy

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:15
Alessandro Foi (Tampere University)
Modeling and removal of noise using nonlocal patch-based collaborative filters, with applications to direct and inverse imaging
15:15-15:45
Break
15:45-17:00
Paul Voyles (University of Wisconsin-Madison)
From Data to Information to Knowledge: Problems in Materials Microscopy with Computational Solutions?

Thursday, September 15, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-10:15
Hong Zhou (University of California, Los Angeles (UCLA))
New cryoEM Programs for Studying Native Biological Complexes, in situ and in Action
10:15-10:45
Break
10:45-12:00
Peter Binev (University of South Carolina)
Learning Theory and Computational Microscopy

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:15
Jerome Darbon (Brown University)
Efficient algorithms for Non-Local Filtering and applications to Cryo-Electron microscopy and biological microscopy
15:15-15:45
Break
15:45-17:00
Paul Weiss (University of California, Los Angeles (UCLA))
Leveraging Sparsity in Scanning Probe Microscopy
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