Physical Sciences Tutorials

X41 - Entrepreneurship in the Microscopy Community

Several entrepreneurs from the microscopy community will be in attendance for a round table Q&A with tutorial attendees on topics including, but not limited to:

X42 - Probing Ultralow Energy Excitations at Ultrahigh Spatial Resolution with Monochromated Electron Energy Loss Spectroscopy

Dr. Jordan A. Hachtel, Oak Ridge National Laboratory

Jordan Hachtel is a staff scientist at Oak Ridge National Laboratory. His research focuses on applications of ultralow-loss monochromated EELS to optical, biological, and quantum materials. Beyond this wide class of applications, he has also focused on using novel techniques, unique to ultralow-loss EELS, to access new aspects of the nanoscale infrared response in such systems.


X43 - X-Ray Imaging & Computed Tomography

Tara Selly, Assistant Professor of Research, Univ. of Missouri
Jim Schiffbauer, Associate Professor, Geological Sciences, Univ. of Missouri


Biological Sciences Tutorials

X44 - Cryo-EM Structure Determination of Small Proteins

Dr. Deb Kelly, Professor of Biomedical Engineering, Pennsylvania State University

Dr. Kelly's research focuses on innovative approaches to study biological systems, ranging from human viruses to cancer. Central to their work is high-resolution imaging, primarily cryo-Electron Microscopy (EM). Dr. Kelly's team has developed a tunable microchip toolkit to study low-molecular weight proteins at high-resolution. Using these new tools, they expect to determine strategic insights for "Structural Oncology" applications.

X45 - Traversing Spatial Scales with Correlative Microscopy

James A.J. Fitzpatrick, Ph.D., Scientific Director, Center for Cellular Imaging, Professor of Neuroscience and Cell Biology & Physiology, Washington University School of Medicine.

James Fitzpatrick is a Professor at Washington University School of Medicine in St. Louis and the inaugural Scientific Director of the Center for Cellular Imaging. His research focuses on the development and application of multi-modal correlated imaging approaches and AI-based image analysis methods to study the pathogenesis of cancer and neurodegenerative disease.