{"692457":{"#nid":"692457","#data":{"type":"event","title":"BioE PhD Proposal Presentation-  Zijun Gao","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003Cbr\u003EDr. Shu Jia, Georgia Institute of Technology; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u003Cbr\u003EDr. Haonan Lin, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University\u003Cbr\u003EDr. Callie Hao, School of Electrical and Computer Engineering, Georgia Institute of Technology\u003Cbr\u003EDr. Marcus Cicerone, Georgia Institute of Technology; School of Chemistry and Biochemistry, Georgia Institute of Technology\u003Cbr\u003EDr. Scott Danielsen, Georgia Institute of Technology; School of Materials Science and Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EToward Event-Driven Neuromorphic Super-Resolution Microscopy\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESuper-resolution fluorescence microscopy enables visualization beyond the diffraction limit, but most existing methods still rely on conventional frame-based detectors that integrate fluorescence signals and compress their temporal evolution. This proposal will develop an event-driven neuromorphic super-resolution microscopy framework that exploits the precise timing and threshold-crossing dynamics of event cameras as an additional source of spatial information for resolution enhancement. The work will first establish how controlled fluorescence changes are encoded into temporally evolving event responses and develop a physics-guided reconstruction algorithm based on this event-domain PSF evolution. The resulting reconstruction will then be implemented and optimized on an edge-computing platform to reduce processing latency and support real-time or near-real-time imaging. Finally, the system will be validated in progressively more demanding biological applications, including fixed subcellular structures, high-speed live-cell dynamics, and functional calcium imaging driven by intrinsic fluorescence changes under continuous illumination. Successful completion of this research will establish detector-level temporal encoding as a new dimension for super-resolution microscopy and provide a unified platform that combines improved spatial resolution, high temporal sensitivity, and efficient computation for biological imaging.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBioE PhD Proposal Presentation- \u0026nbsp;\u0022Toward Event-Driven Neuromorphic Super-Resolution Microscopy\u0022 - Zijun Gao\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022Toward Event-Driven Neuromorphic Super-Resolution Microscopy\u0022"}],"uid":"27917","created_gmt":"2026-09-09 14:06:44","changed_gmt":"2026-09-09 14:08:00","author":"Laura Paige","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-22T12:00:00-04:00","event_time_end":"2026-09-22T14:00:00-04:00","event_time_end_last":"2026-09-22T14:00:00-04:00","gmt_time_start":"2026-09-22 16:00:00","gmt_time_end":"2026-09-22 18:00:00","gmt_time_end_last":"2026-09-22 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"1116 Marcus Nano","extras":[],"groups":[{"id":"65448","name":"Bioengineering Graduate Program"}],"categories":[],"keywords":[{"id":"172056","name":"go-BioE"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}