[Seminar] Minh Dinh: Adaptive Optical Multi-Spectral Matrix Approach for Label-free High-resolution Imaging through Complex Scattering Media

[Tiffany Chien]

The UC Berkeley Photobears invite you to our first optics and computational imaging lunch seminar of the year next Monday, January 27th! 

Presenter: Minh Dinh, PhD Student, University of Southern California Electrical Engineering

Title: Adaptive Optical Multi-Spectral Matrix Approach for Label-free High-resolution Imaging through Complex Scattering Media

When: Monday January 27th 12-1pm

Physical Location: Soda 510

Zoom: https://berkeley.zoom.us/j/6061850180  

Lunch will be provided. Please RSVP here for lunch.

Click here to add event details to your Google Calendar

This invited talk is in honor of the work of Dr. Wade Hsu, an optics and computational imaging researcher who sadly passed away in 2024.

Abstract:

Imaging through complex scattering media is severely limited by aberrations and scattering which obscure images and reduce resolution. Confocal and temporal gatings partly filter out multiple scattering but are severely degraded by wavefront distortions. Adaptive optics restore resolution by correcting low-order aberrations and matrix-based imaging enables more complex wavefront corrections. However, they struggle to undo high-order aberrations under strong scattering, preventing imaging at greater depths. To address these challenges, we present Scattering Matrix Tomography (SMT), an approach that makes full use of the wavefront engineering capability of scattering matrix and extreme adaptive optics. SMT reformulates imaging through complex media as a numerical optimization and employs Zernike-mode wavefront regularization and coarse-to-fine nonconvex optimization strategy to reverse severe aberrations, enabling noninvasive high-resolution volumetric imaging in multiple scattering regimes. Based on the spectrally-resolved matrix measurement, SMT achieves a depth-over-resolution ratio above 900 beneath ex vivo mouse brain tissue and volumetric imaging at over three transport mean free paths inside an opaque colloid, where conventional methods fail to correct strong aberrations under these challenging conditions. SMT is noninvasive, label-free, and works both inside and outside the scattering media, making it suitable for various applications, including medical imaging, biological science, device inspection, and colloidal physics.

Speaker Bio:

Minh Dinh is a third year PhD student in Electrical Engineering at the University of Southern California with Prof. Brian E. Applegate. He works on computational adaptive optics, computational imaging, and methods to image deeper in scattering media for biomedical applications. 

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Photobears is the optics student chapter for Optica (formerly OSA), IEEE Photonics Society, and SPIE organizations. We hold regular meetings as well as networking events and outreach activities that are open to anyone interested in or participating in optics related work/research across campus.

Website: photobears.berkeley.edu

Email: offi...@photobears.berkeley.edu 

[Tiffany Chien]

Reminder that this talk is happening on Monday! Please RSVP for lunch if you plan to attend in person. 

On Jan 22, 2025, at 15:32, Tiffany Chien <tiffan...@berkeley.edu> wrote: