The Quantum Light -Matter Cooperative, founded by Professor Sergio Carbajo, published an article on a new hybrid optical-computational approach combines epsilon-near-zero materials with deep learning to reconstruct images obscured by scattering.
Seeing through foggy, turbid, or highly scattering materials remains one of the fundamental challenges of optical imaging. As light travels through these environments, repeated scattering scrambles the spatial and phase information needed to form a recognizable image.
This problem is particularly important for near-infrared (NIR) imaging, which plays an important role in biomedical and deep-tissue applications. One promising strategy is upconversion imaging: converting incoming NIR signals into visible wavelengths so they can be detected using sensitive silicon-based cameras.
Please see the article.