NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
Science Advances — 2023
Diffraction-limited optical imaging through scattering media has the potential to transform many applications such as airborne and space-based imaging (through the atmosphere), bioimaging (through skin and human tissue), and fiber-based imaging (through fiber bundles). Existing wavefront shaping methods can image through scattering media and other obscurants by optically correcting wavefront aberrations using high-resolution spatial light modulators—but these methods generally require (i) guidestars, (ii) controlled illumination, (iii) point scanning, and/or (iv) statics scenes and aberrations. We propose neural wavefront shaping (NeuWS), a scanning-free wavefront shaping technique that integrates maximum likelihood estimation, measurement modulation, and neural signal representations to reconstruct diffraction-limited images through strong static and dynamic scattering media without guidestars, sparse targets, controlled illumination, nor specialized image sensors. We experimentally demonstrate guidestar-free, wide field-of-view, high-resolution, diffraction-limited imaging of extended, nonsparse, and static/dynamic scenes captured through static/dynamic aberrations.
@article{feng2023neuws,
title={NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media},
author={Feng, Brandon Y and Guo, Haiyun and Xie, Mingyang and Boominathan, Vivek and Sharma, Manoj K and Veeraraghavan, Ashok and Metzler, Christopher A},
journal={Science Advances},
volume={9},
number={26},
pages={eadg4671},
year={2023},
publisher={American Association for the Advancement of Science}
}