Dissertation talk: Computational speckle structured illumination for high-content microscopy

Presentation: Dissertation Talk: EE | May 9 | 9-10 a.m. | 540AB Cory Hall

 Li-Hao Yeh, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

High-content microscopy targets high-resolution imaging across large fields-of-view (FOVs). Recent works have demonstrated that computational imaging, which generalizes the information retrieval and relaxes the optical design, can provide efficient solutions for high-content microscopy. In this talk, I will talk about our computational imaging solution toward high-content multimodal microscopy with random speckle structured illumination.

I will first introduce the idea of structured illumination microscopy (SIM), a super-resolution technique that is key to our high-content imaging method. Random speckle illumination for SIM provides an easy way to encode multiple-fold resolution information. However, the inverse problem becomes difficult to handle. I will then discuss how we get around this difficulty and achieve 4x resolution gain in the fluorescence and phase imaging channel. This resolution gain with a low-magnification microscope objective results in an imaging method with mm-scale FOV and sub-micron resolution. In the end, I will introduce an extended framework to push this idea to 3D multi-modal (fluorescence and phase) imaging.

Advisor: Laura Waller

 lihao.yeh@berkeley.edu, 510-5992928