Dataset for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping - Hyperspectral Reflection Matrices of Dense Colloid Nanoparticle Sample

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 Hsu

This 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

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Chan Zuckerberg Initiative

History

Research Institution(s)

University of Southern California

Contact email

yzhang67@usc.edu

Associated Preprint DOI

https://doi.org/10.48550/arXiv.2306.08793

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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.

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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 Applied Physics Classical and Physical Optics Nanophotonics Photonics and Electro-Optical Engineering (excl. Communications)Optical Technology Optical Properties of Materials Photonics, Optoelectronics and Optical Communications

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CC BY 4.0

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