Published 2024 | Version v2
Dataset Open

Datasets for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping - Hyperspectral Reflection Matrices

Authors/Creators

  • 1. University of Southern California

Description

There are two datasets of  hyperspectral reflection matrices (complex-valued):

> 'data_TiO2_Tb3' is for 1.5 millimeter deep inside a dense TiO2 nanoparticle colloid;

> 'data_usaf' is for USAF target under 1-millimeter mouse brain tissue.

With these datasets, one can reconstruct high-resolution deep images using scattering matrix tomography (SMT). The SMT reconstruction code and more information can be found on GitHub.

Files

data_usaf.zip

Files (26.7 GB)

Name Size
md5:80f6ea66462024c03f6861a6557a4f55
12.4 GB Preview Download
md5:efe8c212d09320ece3bec5112cd34a45
14.3 GB Preview Download

Additional details

Related works

Is supplement to
Preprint: 10.48550/arXiv.2306.08793 (DOI)
Other: https://github.com/complexphoton/SMTexperiment (URL)