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Dataset for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping - Hyperspectral Reflection Matrices of Dense Colloid Nanoparticle Sample
dataset
posted on 2023-08-18, 15:03 authored by Yiwen ZhangYiwen Zhang, Minh Dinh, Zeyu Wang, Tianhao Zhang, Tianhang Chen, Chia Wei HsuThis dataset includes the experimental hyperspectral reflection matrices (complex-valued) more than 1 millimeter deep inside a dense TiO2 nanoparticle colloid, with which one can reconstruct high-resolution deep volumetric images of the sample using scattering matrix tomography (SMT).
The SMT reconstruction code and more information can be found on GitHub.
Funding
CAREER: Nonlocal Metasurfaces with All-Angle Control of Light
Directorate for Engineering
Find out more...Chan Zuckerberg Initiative
History
Research Institution(s)
University of Southern CaliforniaContact email
yzhang67@usc.eduAssociated Preprint DOI
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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.Usage metrics
Categories
Keywords
scattering matrix tomography (SMT)hyperspectral reflection matrixdeep volumetric imagingvirtual wavefront controlspatiotemporal focusingvolumetric microscopy inside opaque mediaApplied PhysicsClassical and Physical OpticsNanophotonicsPhotonics and Electro-Optical Engineering (excl. Communications)Optical TechnologyOptical Properties of MaterialsPhotonics, Optoelectronics and Optical Communications
