Compressed ultrafast photography (CUP) is the fastest receive-only single-shot imaging technique up to now. By combining compressed sensing and streak imaging, CUP is able to capture ultrafast dynamics in a single shot. As a powerful tool for researching ultrafast phenomena, it has been widely applied in lots of areas. To meet the demand for more precise dynamics information and higher dimension in some application, many improvements have been conduct in CUP. For example, we have raised total variation-block match 3D filter algorithm and augmented Lagrange-deep learning hybrid algorithm to improve the reconstructed image quality of CUP, and set up a stereo-volumetric CUP system to capture 5 dimension dynamic information in a single shot. Besides, we have also developed another single-shot ultrafast optical imaging technique, chirped spectral mapping ultrafast photography (CSMUP), which utilized the spectral-temporal mapping to exact temporal information from hyperspectral image.
In ultrafast optical imaging, it is critical to obtain the spatial structure, temporal evolution, and spectral composition of the object with snapshots in order to better observe and understand unrepeatable or irreversible dynamic scenes. However, so far, there are no ultrafast optical imaging techniques that can simultaneously capture the spatial–temporal–spectral five-dimensional (5D) information of dynamic scenes. To break the limitation of the existing techniques in imaging dimensions, we develop a spectral-volumetric compressed ultrafast photography (SV-CUP) technique. In our SV-CUP, the spatial resolutions in the x, y and z directions are, respectively, 0.39, 0.35, and 3 mm with an 8.8 mm × 6.3 mm field of view, the temporal frame interval is 2 ps, and the spectral frame interval is 1.72 nm. To demonstrate the excellent performance of our SV-CUP in spatial–temporal–spectral 5D imaging, we successfully measure the spectrally resolved photoluminescent dynamics of a 3D mannequin coated with CdSe quantum dots. Our SV-CUP brings unprecedented detection capabilities to dynamic scenes, which has important application prospects in fundamental research and applied science.
The spatial, temporal, and spectral information in optical imaging play a crucial role in exploring the unknown world and unencrypting natural mysteries. However, the existing optical imaging techniques can only acquire the spatiotemporal or spatiospectral information of the object with the single-shot method. In this talk, I’d like to introduce a hyperspectrally compressed ultrafast photography (HCUP) that can simultaneously record the spatial, temporal, and spectral information of the object. In our HCUP, the dynamical spatial resolution is 1.26 lp/mm in the horizontal direction and 1.41 lp/mm in the vertical direction, the temporal frame interval is 2 ps, and the spectral frame interval is 1.72 nm. Based on our HCUP, we realized the spatiotemporal-spatiospectral four-dimensional optical imaging of the chirped picosecond laser pulse and the photoluminescence dynamics. It can be expected that HCUP is flexible to couple to a variety of imaging modalities, including microscopes and telescopes, which enable recording the object at the spatial scales from cellular organelles to galaxies. Considering the powerful function of HCUP in optical imaging, it will open a new route in related application areas.
Compressed ultrafast photography (CUP) is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames. This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot. With recent unprecedented technical developments and extensions of this methodology, it has been widely used in ultrafast optical imaging and metrology, ultrafast electron diffraction and microscopy, and information security protection. We review the basic principles of CUP, its recent advances in data acquisition and image reconstruction, its fusions with other modalities, and its unique applications in multiple research fields.
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