Location

IBB Suddath Seminar Room 1128

Kyungduck Yoon

BioE Ph.D. Proposal Presentation

May 8, 2025

01:00 PM - 03:00 PM

 

Location: IBB Suddath Seminar Room 1128

https://gatech.zoom.us/j/91231700987

Meeting ID: 912 3170 0987

 

Advisor: Shu Jia, Ph.D. (Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University)

 

Committee:

Costas D. Arvanitis, Ph.D. (George. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology)

Francisco E. Robles, Ph.D. (Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University)

Erin M. Buckley, Ph.D. (Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University)

William C. Ratcliff, Ph.D. (School of Biological Sciences, Georgia Institute of Technology)

 

Towards super-resolution neuromorphic scanning microscopy

Super-resolution microscopy has revolutionized the visualization of subcellular structures, yet it still relies on collecting numerous diffraction-limited frames for reconstruction. This requirement reduces temporal resolution, produces large redundant data sets, and demands complex optical configurations that impede real-time, high-throughput imaging. Frame-based cameras further limit their performance because their exposure time and dynamic range are compromised under rapid acquisitions. The goal of this proposal is to develop an affordable, accessible, and compact super-resolution microscope that concurrently delivers high-throughput imaging. In Aim 1, we will integrate neuromorphic event camera and develop dedicated reconstruction algorithms to reach kilohertz temporal resolution. Aim 2 focuses on designing and fabricating optical metasurfaces to replace diffractive microlens arrays for enhanced performance and to further simplify the hardware setup. Aim 3 will validate the complete neuromorphic scanning microscope on a range of biological specimens, demonstrating its versatility for broad applications. Successful completion of these aims will deliver the next generation of super-resolution microscopy, providing a robust and user-friendly platform for rapid biological imaging in both biological research and clinical applications.