Datasets for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping
Version 5 2023-08-18, 16:06
Version 4 2023-08-17, 21:33
Version 3 2023-08-09, 17:12
Version 2 2023-08-09, 17:11
Version 1 2023-03-09, 07:24
Posted on 2023-08-18 - 16:06 authored by Yiwen Zhang
This is a collection containing two datasets to reconstruct high-resolution deep volumetric images of the sample using scattering matrix tomography.
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Zhang, Yiwen; Dinh, Minh; Wang, Zeyu; Zhang, Tianhao; Chen, Tianhang; Hsu, Chia Wei (2023). Datasets for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping. Figshare+. Collection. https://doi.org/10.25452/figshare.plus.c.6428105.v5
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FUNDING
CAREER: Nonlocal Metasurfaces with All-Angle Control of Light
Directorate for Engineering
Chan Zuckerberg Initiative
Research Institution(s)
University of Southern CaliforniaContact email
yzhang67@usc.eduAssociated Preprint DOI
Competing Interest Statement
C.W.H, Z.W., Y.Z., and M.D. are inventors of US patent applications 17/972,073 and 63/472,900 titled “Multi-spectral scattering-matrix tomography” filed by the University of Southern California.SHARE
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AUTHORS (6)
- MDMinh DinhZWZeyu WangTZTianhao ZhangTCTianhang ChenCHChia Wei Hsu
KEYWORDS
scattering matrix tomography (SMT)hyperspectral reflection matrixdeep volumetric imagingvirtual wavefront controlspatiotemporal focusingvolumetric microscopy inside opaque mediaApplied PhysicsClassical and Physical OpticsOptical Properties of MaterialsPhotonics, Optoelectronics and Optical CommunicationsNanophotonicsOptical TechnologyPhotonics and Electro-Optical Engineering (excl. Communications)