Computational microscopy for plant biology
We integrate computational techniques with hardware optimization to develop a portable, wireless system for chronic in-vivo imaging in the field. This system is designed to support research in plant biology and ecosystem management.
We design flat optics for imaging systems in Visible, NIR, MWIR, and LWIR bands, offering lightweight construction, large apertures, high numerical aperture, wide bandwidth, extended depth of field, and broad field of view.
Instantaneous 3D printing with inverse-designed phase masks.
We are developing the fastest 3D printing technology using a single-exposure volumetric projection of 3D light intensities into optimized resin, enabled by inverse-designed phase masks.
Neuromorphic hyperspectral microscopy
We are developing the first microscope that combines computational imaging with event-based cameras to achieve high spatial, spectral, and temporal resolution.
Computation-enabled unconventional Imaging
We use computational techniques to achieve unconventional imaging, such as capturing clear images through dense fog or predicting thermal images from standard RGB images.