Author Affiliations
1East China Normal University, School of Physics and Electric Science, State Key Laboratory of Precision Spectroscopy, Shanghai, China2Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China3University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States4Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec, Canada5California Institute of Technology, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Caltech Optical Imaging Laboratory, Pasadena, California, United Statesshow less
Fig. 1. CUP system configuration. CCD, charge-coupled device; DMD, digital micromirror device;
, sweeping voltage;
, time;
and
, spatial coordinates of the dynamic scene;
and
, spatial coordinates of the streak camera. Since each micromirror (
) of the DMD is much larger than the light wavelength, the diffraction angle is small (
). With a collecting objective of numerical aperture
, the throughput loss caused by the DMD’s diffraction is negligible. Equipment details: camera lens, Fujinon CF75HA-1; DMD, Texas Instruments DLP LightCrafter; microscope objective, Olympus UPLSAPO 4X; tube lens, Thorlabs AC254-150-A; streak camera, Hamamatsu C7700; CCD, Hamamatsu ORCA-R2. Figure reprinted from Ref.
19.
Fig. 2. Data flow of CUP in (a) data acquisition and (b) image reconstruction.
Fig. 3. (a) Flow chart for optimizing the encoding mask in a CUP system based on GA. (b), (c) The experimental results for a spatially modulated picosecond laser pulse evolution obtained by (b) optimal codes and (c) random codes. TwIST: two-step iterative shrinkage/thresholding.
28 Figures reprinted from Ref.
29.
Fig. 4. A schematic diagram of data acquisition in multiencoding CUP. Here,
and
are time;
is the spatial encoding operator;
is the temporal shearing operator;
is the spatiotemporal integration operator. Figure reprinted from Ref.
29.
Fig. 5. Schematic diagram of the T-CUP system. Inset (black dashed box): detailed illustration of the streak tube. MCP, microchannel plate. Figure reprinted from Ref.
34.
Fig. 6. (a) An experimental diagram of imaging a superluminal propagation, showing experimental results obtained by the (b) AL algorithm and (c) TwIST algorithm. Figures reprinted from Ref.
36.
Fig. 7. The experimental results of imaging a picosecond laser pulse propagation. The frame at
is shown as reconstructed by the (a) TwIST and (b) SIC algorithms; (c) image profiles along the blue lines indicated in (a) and (b). Figures reprinted from Ref.
37.
Fig. 8. A schematic diagram of the CUST technique. Figure reprinted with permission from Ref.
43.
Fig. 9. The theoretical designs of (a) CUEDI, (b) CUTEM, and (c) dual-shearing CUTEM. Figures reprinted from Refs.
44 and
45.
Fig. 10. The experimental setup of COSUP. Figure reprinted from Ref.
46.
Fig. 11. (a) Spectral separation unit of the dual-color CUP system; (b) an ultrafast laser-induced fluorescence process revealed by dual-color CUP; (c) the photonic Mach cone dynamics obtained by LLE-CUP. Figures reprinted from Refs.
19 and
33.
Fig. 12. 3-D images of (a) static targets and (b) two-ball rotation, obtained by CUP. Figures reprinted from Ref.
35.
Fig. 13. Spatiotemporal evolutions of (a) a dual-color picosecond laser field and (b) the temporal focusing of a femtosecond laser pulse. Figures reprinted from Refs.
34 and
87.
Fig. 14. A schematic diagram of the experimental design of compressed 3-D image information secure communication. Figure reprinted from Ref.
107.