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Computational 3D Microscopy with Optical Coherence Refraction Tomography

Presentation will begin: Tuesday, October 25, 2022 - 3:20 PM EDT
Presented by: Kevin Zhou, UC Berkeley

Through decades of technological development, optical coherence tomography (OCT) has become faster and more sensitive as a biomedical volumetric imaging modality. However, it still suffers from fundamental limitations that degrade the effectiveness of its contrast mechanism. Namely, as a reflective coherent imaging modality, OCT is strongly susceptible to speckle noise, which can overpower the signal of interest. Furthermore, many OCT systems have poor lateral resolution compared to their axial resolution to obtain a large axial field of view. Zhou presents a new computational microscope design that he and his research group recently developed to overcome these shortcomings. The microscope uses optical coherence refraction tomography (OCRT) and features a novel optomechanical design, along with a volumetric computational reconstruction algorithm that incorporates extreme angular diversity to synthesize an incoherent volumetric reconstruction, resulting in substantially reduced speckle and enhanced lateral resolution. OCRT also recovers a 3D refractive index distribution of the sample. He applies the computational 3D microscope to mouse, zebrafish larvae, and fruit fly samples, demonstrating significant improvement over conventional OCT, and revealing features that might otherwise be missed.


About the presenter
Kevin ZhouKevin C. Zhou, Ph.D., received his bachelor's degree in biomedical engineering from Yale University in 2015. He received his master’s degree in electrical and computer engineering, and then, in 2021, his doctorate in biomedical engineering from Duke University. He is currently a postdoctoral researcher at UC Berkeley. Zhou’s research is centered around developing high-throughput, data-intensive computational 3D imaging systems for a variety of applications. His interests span optical coherence tomography, diffraction tomography, lidar, ptychography, and parallelized 3D microscopy. He is a recipient of the Barry Goldwater Scholarship, the NSF Graduate Research Fellowship, and the Schmidt Science Fellowship.




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