C02.1 - Extracting Information from Data: Applications of Artificial Intelligence in Microscopy Application of Artificial Intelligence to Microscopy in the Materials and Biological Sciences

Session Chair(s)

• 

  Eric Stach, PhD

  Graduate Student
  University of Pennsylvania
  (2) Laboratory for Research on the Structure of Matter, (3) Hummingbird Scientific
  Philadelphia, Pennsylvania, United States

Presentations:

• 8:30 AM – 8:45 AM US CST

  Autonomous Electron Tomography Reconstruction using Bayesian Optimization
  

  Presenting Author: William W. Millsaps, III (he/him/his) – University of Michigan, Ann Arbor

  Co-Author: Jonathan Schwartz – University of Michigan, Ann Arbor

  Co-Author: Zichao Wendy Di, Ph.D. – Mathematics and Computer Science Division, Argonne National Laboratory

  Co-Author: Yi Jiang, Ph.D. – Advanced Photon Source, Argonne National Laboratory

  Co-Author: Robert Hovden – University of Michigan, Ann Arbor
• 8:45 AM – 9:15 AM US CST

  Advanced Gaussian Processes for Function Approximation, Uncertainty Quantification, and Autonomous Experimentation
  

  Presenting Author: Marcus M. Noack, PhD in Applied Math – Lawrence Berkeley National Laboratory
• 9:15 AM – 9:30 AM US CST

  Resolving the Preferred Orientation Problem in CryoEM Reconstruction with Self-Supervised Deep Learning
  

  Presenting Author: Yuntao Liu – University of California Los Angeles

  Co-Author: Jason Hu – UCLA

  Co-Author: Z. Hong Zhou – UCLA
• 9:30 AM – 10:00 AM US CST

  Practical and Parsimonious Real-Time Analysis in Materials Microscopy
  

  Presenting Author: Joshua Agar (he/him/his) – Drexel University