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• Vol. 3, Issue 4, 045001 (2021)
Pengpeng Ding1、†, Yunhua Yao1, Dalong Qi1、*, Chengshuai Yang1, Fengyan Cao1, Yilin He1, Jiali Yao1, Chengzhi Jin1, Zhengqi Huang1, Li Deng1, Lianzhong Deng1, Tianqing Jia1, Jinyang Liang2, Zhenrong Sun1, and Shian Zhang1、3、*
Author Affiliations
• 1East China Normal University, School of Physics and Electronic Science, State Key Laboratory of Precision Spectroscopy, Shanghai, China
• 2Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec, Canada
• 3Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China
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Abstract

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.
 $I1(x,y,z)=Isα(x,y,z),$(1)

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 $E1(m,n)=KTCIsα(x,y,z),$(2)

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 $I^1(x,y,z)=arg min{ΦTV[Isα(x,y,z)]−γ[E1(m,n)−KTCIsα(x,y,z)]+ξ2‖E1(m,n)−KTCIsα(x,y,z)‖22},$(3)

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 $E2(m,n)=MTSCI2(x,y,t,λ),$(4)

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 $I^2(x,y,t,λ)=arg min{ΦTV[I2(x,y,t,λ)]−γ[E2(m,n)−MTSCI2(x,y,t,λ)]+ξ2‖E2(m,n)−MTSCI2(x,y,t,λ)‖22}.$(5)

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 $I^(x,y,z,t,λ)=H[I^1(x,y,z)]⊙I^2(x,y,t,λ),s.t. z=ct/2,$(6)