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NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media

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 met...

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Autores principales: Feng, Brandon Y., Guo, Haiyun, Xie, Mingyang, Boominathan, Vivek, Sharma, Manoj K., Veeraraghavan, Ashok, Metzler, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306297/
https://www.ncbi.nlm.nih.gov/pubmed/37379386
http://dx.doi.org/10.1126/sciadv.adg4671
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author Feng, Brandon Y.
Guo, Haiyun
Xie, Mingyang
Boominathan, Vivek
Sharma, Manoj K.
Veeraraghavan, Ashok
Metzler, Christopher A.
author_facet Feng, Brandon Y.
Guo, Haiyun
Xie, Mingyang
Boominathan, Vivek
Sharma, Manoj K.
Veeraraghavan, Ashok
Metzler, Christopher A.
author_sort Feng, Brandon Y.
collection PubMed
description 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.
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spelling pubmed-103062972023-06-29 NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media Feng, Brandon Y. Guo, Haiyun Xie, Mingyang Boominathan, Vivek Sharma, Manoj K. Veeraraghavan, Ashok Metzler, Christopher A. Sci Adv Physical and Materials Sciences 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. American Association for the Advancement of Science 2023-06-28 /pmc/articles/PMC10306297/ /pubmed/37379386 http://dx.doi.org/10.1126/sciadv.adg4671 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Feng, Brandon Y.
Guo, Haiyun
Xie, Mingyang
Boominathan, Vivek
Sharma, Manoj K.
Veeraraghavan, Ashok
Metzler, Christopher A.
NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title_full NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title_fullStr NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title_full_unstemmed NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title_short NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
title_sort neuws: neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306297/
https://www.ncbi.nlm.nih.gov/pubmed/37379386
http://dx.doi.org/10.1126/sciadv.adg4671
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