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Dataset for deep volumetric imaging by scattering matrix tomography - hyperspectral reflection matrices of a USAF target under 1-millimeter mouse brain tissue

dataset

posted on 2023-03-02, 01:15 authored by Yiwen ZhangYiwen Zhang, Minh Dinh, Zeyu Wang, Chia Wei Hsu

This 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

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Chan Zuckerberg Initiative

History

References

https://github.com/complexphoton/SMT_exp

Research Institution(s)

University of Southern California

Contact email

yzhang67@usc.edu

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Keywords

scattering matrix tomography (SMT)hyperspectral reflection matrix deep volumetric imaging virtual wavefront control spatiotemporal focusing volumetric microscopy inside opaque media

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