RESEARCH OVERVIEW
High-dimensional Light-field Imaging and Biomedical Applications
We develop computational imaging systems that push beyond conventional limits in
dimensionality, throughput, and efficiency. By jointly designing optical encoding and
reconstruction algorithms, we compressively capture high-dimensional light fields across
space, angle, spectrum, time, and polarization. These capabilities open new opportunities for
efficient biological observation and optical brain-computer interfaces.
Ultra-Fast Imaging
Ultra-fast imaging technique is a type of video taking technique, and the time resolution ranges
from nanoseconds, picoseconds to femtoseconds, or even attoseconds. Due to the ability in
detecting light with ultra-high time resolution, ultrafast imaging has wide applications in
studying the transient phenomenon in chemistry, physics and biology. Our research focuses on
developing novel ultra-fast imaging techniques that could realize high-throughput continuous
ultrafast imaging, further enlarge the application range of ultra-fast imaging.
Ultra-Low Light Imaging
Ultra-low light imaging technique is a type of video taking technique under extremely low
light, i.e. the radiance of surrounding illumination ranges only from 0.1 lux, 0.01 lux, 0.001
lux, or even lower. Due to the ability in detecting light with extremely low light, ultra-low
imaging has wide applications in security, astronomy, and biology, etc. Our research focuses
on developing novel ultra-low imaging techniques and the corresponding reconstruction
algorithms that could realize extremely low light imaging
Intelligence Vision Systems
Biological vision systems could provide visual information efficiently for realizing elegant
daily tasks, with both low data throughput, computational complexity and low power
consumption. Inspired by the biological visual system, our research focuses on how to mimics
the biological visual systems, which could promote the imaging tasks with elegantly low cost.
Through further boosting the performance with deep learning, we aim to work even beyond
the capability of the biological vision system, which could greatly facilitate unmanned vehicles,
robotics, etc.
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