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Ph.D. Proposal Oral Exam - Zhenmin Li

Title:  From Benchtop to Compact: AI-assisted QOBM (Quantitative Oblique Back-Illumination Microscopy) Advances for Next-generation Imaging

Committee:

Dr. Robles, Advisor

Dr. Inan, Co-Advisor

Dr. Qiu, Chair

Dr. Jia

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Summary

The objective of this proposed research is to develop an imaging endoscope that combines multiple artificial intelligence models and quantitative oblique back-illumination microscopy (qOBM) so that it could be tiny (smaller than 5mm in diameter), high imaging quality, label-free but multi-modal (phase and virtual fluorescence).

Details

Tuesday
Feb 24 2026
08:00am - 10:00am

Location: Room 1005, EBB

In campus calendar: No

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  • Workflow status: Published
  • Created by: Daniela Staiculescu
  • Created: 02/17/2026
  • Modified By: Daniela Staiculescu
  • Modified: 02/17/2026

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