Deep Learning Tools for Analyzing, Controlling and Designing Optical Microscopes

This seminar presents recent advancements in applying deep learning to enhance optical microscope performance across three core domains: (1) Analysis, where object detection networks automatically locate and classify millions of cells based on color and morphology in thousands of images, mapping them to established coordinate systems such as the Allen Brain Atlas; (2) Control, where deep learning enables real-time, intelligent adjustments of optical components in adaptive light-sheet microscopes, correcting for focus and aberrations; and (3) Design, where physical image formation models accelerate the development of novel microscope architectures. These innovations greatly enhance optical imaging capabilities, opening new possibilities in biological, medical, and materials research.

Dr. Alon Greenbaum

Assistant Professor of Biomedical Engineering, NC State University and UNC-Chapel Hill on November 8, 2024 at 10:15 AM in EB2 1231
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Dr. Alon Greenbaum is an Assistant Professor in the Joint Department of Biomedical Engineering at North Carolina State University and the University of North Carolina at Chapel Hill. He earned his BS and MS in Electrical Engineering from Tel Aviv University and his Ph.D. from UCLA, where he conducted pioneering biophotonics research in lens-free microscopy under Prof. Aydogan Ozcan. Driven by a passion for bridging technological gaps, Dr. Greenbaum expanded his research into biological imaging. During his postdoctoral fellowship with Prof. Viviana Gradinaru at Caltech, he developed advanced imaging techniques for visualizing intact bones. His lab now focuses on 3D imaging of organs and improving drug delivery to the inner ear. Dr. Greenbaum’s work has earned him the Good Ventures Postdoctoral Fellowship, the Howard Hughes Medical Institute International Student Research Fellowship, and the Goodnight Early Career Innovators Award. He has authored over 45 peer-reviewed articles and presented his research at more than 30 conferences.

Electrical and Computer Engineering Colloquia

This lecture series features exciting and dynamic visiting and virtual speakers from across the range of ECE disciplines. Take some time every Friday morning to be inspired by these great scientists and engineers before heading into the weekend!