Published August 9, 2023
| Version v1
Dataset
Open
Datasets for Deep Imaging Inside Scattering Media Through Virtual Spatiotemporal Wavefront Shaping - Hyperspectral Reflection Matrices
- 1. University of Southern California
Description
There are two datasets of hyperspectral reflection matrices (complex-valued):
> 'data_TiO2' is for 1 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
(22.6 GB)
| Name | Size | Download all |
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md5:155326b13f456002b5f8adcbbb3e1090
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8.3 GB | Preview Download |
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md5:efe8c212d09320ece3bec5112cd34a45
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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)