A09.6 - Automation in Microscopy from Image Acquisition to Image Analysis, Data Visualization, and Management

Session Chair(s)

• EK

  Ellen Keene

Presentations:

• 10:30 AM - 10:45 AM US EST

  Frozen in Motion: FAIR and Sustainable Data Management in Cryo-EM at the Worldwide Protein Data Bank
  

  Presenting Author: Justin Flatt, Ph.D. (he/him/his) – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Brian Hudson, Ph.D. – 1RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Irina Persikova, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Yuhe Liang, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Zukang Feng, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Chenghua Shao, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Ezra Peisach, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Jasmine Young, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States

  Co-Author: Stephen Burley, Ph.D. – RCSB Protein Data Bank, Rutgers, The State University of New Jersey, New Jersey, United States
• 10:45 AM - 11:00 AM US EST

  Bias in Image-Based Classification by the Autoscale Pre-processing Operation
  

  Presenting Author: Carol A. Heckman, Ph.D. – Bowling Green State University
• 11:00 AM - 11:15 AM US EST

  PEAR: A Knowledge-guided Autonomous Pipeline for Ptychography Enabled by Large Language Models
  

  Presenting Author: Xiangyu Yin – Argonne National Laboratory

  Co-Author: Chuqiao Shi – Rice University

  Co-Author: Junjing Deng – Argonne National Laboratory

  Co-Author: Yimo Han – Rice University

  Co-Author: Yi Jiang – Argonne National Laboratory
• 11:15 AM - 11:30 AM US EST

  Characterizing Data-dependent Generalization Phenomena for Machine Learning in High-Resolution Transmission Electron Microscopy
  

  Presenting Author: Luis Rangel DaCosta – University of California, Berkeley

  Co-Author: Katherine Sytwu – Lawrence Berkeley National Laboratory

  Co-Author: Mary Scott – Lawrence Berkeley National Laboratory
• 11:30 AM - 11:45 AM US EST

  Reward Driven Image Analysis Workflow in Static and Active Learning
  

  Presenting Author: Kamyar Barakati (he/him/his) – The University of Tennessee, Knoxville

  Co-Author: Hui Yuan (he/him/his) – McMaster University, Hamilton, ON, Canada

  Co-Author: Amit Goyal (he/him/his) – State University of New York, Buffalo, NY

  Co-Author: Sergei Kalinin (he/him/his) – Pacific Northwest National Laboratory, Richland, WA, United States
• 11:45 AM - 12:00 PM US EST

  Classification of Crystal Systems on HAADF STEM Images using Fractal-Based Neural Network
  

  Presenting Author: Shinjan Dutta (he/him/his) – Northwestern University

  Co-Author: Yulong Dai – Northwestern University

  Co-Author: Alexander M Rakowski – Lawrence Berkeley National Laboratory

  Co-Author: Colin Ophus – National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

  Co-Author: Aggelos K Katsaggelo – Northwestern University

  Co-Author: Maria KY Chan – Argonne National Laboratory