Lensfree Holographic On-Chip Imaging and Three-dimensional Tracking

Ting-Wei (Justin) Su

Advisor: Aydogan Ozcan

Despite the rapid progress in optical imaging, most of the advanced microscopy modalities still require complex and costly set-ups that unfortunately limit their use beyond well-equipped laboratories. To provide affordable and easy-to-use microscopes for resource-limited settings, I developed a holographic on-chip imaging technology that utilizes cost-effective and compact optoelectronic components to enable the digital reconstruction of microscopic amplitude and phase images for biological cells with a sub-micron resolution over a field-of-view of 24 mm². Without the need for any lenses, bulky optical components or coherent sources such as lasers, this partially-coherent computational imaging modality can automatically analyze thousands of cells in parallel for their cell type, concentration, structure, and dynamics. As being compact, light-weight, cost-effective, high-throughput, and highly-sensitive, this lensfree imaging technology is especially suitable for field diagnostics applications involving global health problems such as HIV, malaria, infectious diarrhea, or male infertility.

Biography:

Ting-Wei (Justin) Su received his BS degree in Electrical Engineering and MS degree in Electro-optical Engineering from National Taiwan University, in 2000 and 2002 respectively. After his service in Army’s Electronics and Communication School as an instructor, he was a senior engineer in AU Optronics from 2004 to 2007 working on improving LCD optical performance. He is currently a PhD candidate in the Department of Electrical Engineering, UCLA, developing lens-free computational imaging platforms for the high-throughput cytometry and point-of-care diagnostics applications.

Ting-Wei Su is the co-author of more than 60 peer-reviewed papers in academic journals and conferences. He is also the co-inventor of 5 issued and several pending US patents, covering Silicon light source, LCD driving scheme, LCD pixel design, and lens-free imaging. His current research interests include novel optical modalities for bio-medical imaging and sensing, lens-free imaging, digital holography, 3D microscopy, and optics-based cytometry methods.