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1/0
Dataset for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping - Hyperspectral Reflection Matrices of a USAF Target Under 1-Millimeter Mouse Brain Tissue
Version 2 2023-08-18, 15:03
Version 1 2023-03-02, 01:15
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) of a 1951 USAF resolution target underneath 1 mm of mouse brain tissue.
Using scattering matrix tomography (SMT), one can reconstruct the high-resolution USAF target image even with the presence of the strong scattering and aberrations induced by the biological tissue.
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
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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
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Keywords
scattering matrix tomography (SMT)hyperspectral reflection matrixdeep volumetric imagingvirtual wavefront controlspatiotemporal focusingvolumetric microscopy inside opaque mediaApplied PhysicsClassical and Physical OpticsOptical TechnologyPhotonics and Electro-Optical Engineering (excl. Communications)Optical Properties of MaterialsPhotonics, Optoelectronics and Optical CommunicationsNanophotonics
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