Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films

Abstract Decoding arbitrary polarization information in a cost-effective way is a key target for next-generation optical sensing. However, the design of full-Stokes detectors capable of resolving polarization states in a single shot remains challenging. Here we introduce GOStokes, an approach that l...

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Main Authors: Mingwei Ge, Yuan Yao, Tyler Wang, Subhrangsu Mukherjee, Harald Ade, Mengxia Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60914-y
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author Mingwei Ge
Yuan Yao
Tyler Wang
Subhrangsu Mukherjee
Harald Ade
Mengxia Liu
author_facet Mingwei Ge
Yuan Yao
Tyler Wang
Subhrangsu Mukherjee
Harald Ade
Mengxia Liu
author_sort Mingwei Ge
collection DOAJ
description Abstract Decoding arbitrary polarization information in a cost-effective way is a key target for next-generation optical sensing. However, the design of full-Stokes detectors capable of resolving polarization states in a single shot remains challenging. Here we introduce GOStokes, an approach that leverages heterogeneous grain orientation in solution-processed metal halide semiconductors to extract Stokes parameters in a single measurement. By developing polycrystalline films exhibiting strong inherent circular and linear dichroism, we harness randomly oriented grains to produce varied polarization selectivity across the spatial domain. Integrating these films as multi-channel optical filters with commercial cameras enables real-time polarimetric detection and imaging, each generating a transmission map from a single exposure. Using deep learning, GOStokes precisely determines arbitrary polarization states with an averaged mean absolute error below 1%. Our demonstration underscores the potential of combining low-cost, scalable, polycrystalline films with reconstruction algorithms for advanced polarimetric applications.
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institution Kabale University
issn 2041-1723
language English
publishDate 2025-07-01
publisher Nature Portfolio
record_format Article
series Nature Communications
spelling doaj-art-b91c47c5208946f5970d9ba1f529f0f12025-08-20T03:37:38ZengNature PortfolioNature Communications2041-17232025-07-011611910.1038/s41467-025-60914-yAccurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline filmsMingwei Ge0Yuan Yao1Tyler Wang2Subhrangsu Mukherjee3Harald Ade4Mengxia Liu5Department of Electrical & Computer Engineering, Yale UniversityDepartment of Electrical & Computer Engineering, Yale UniversityEnergy Sciences Institute, Yale UniversityDepartment of Physics and Organic and Carbon Electronics Laboratories (ORaCEL), North Carolina State UniversityDepartment of Physics and Organic and Carbon Electronics Laboratories (ORaCEL), North Carolina State UniversityDepartment of Electrical & Computer Engineering, Yale UniversityAbstract Decoding arbitrary polarization information in a cost-effective way is a key target for next-generation optical sensing. However, the design of full-Stokes detectors capable of resolving polarization states in a single shot remains challenging. Here we introduce GOStokes, an approach that leverages heterogeneous grain orientation in solution-processed metal halide semiconductors to extract Stokes parameters in a single measurement. By developing polycrystalline films exhibiting strong inherent circular and linear dichroism, we harness randomly oriented grains to produce varied polarization selectivity across the spatial domain. Integrating these films as multi-channel optical filters with commercial cameras enables real-time polarimetric detection and imaging, each generating a transmission map from a single exposure. Using deep learning, GOStokes precisely determines arbitrary polarization states with an averaged mean absolute error below 1%. Our demonstration underscores the potential of combining low-cost, scalable, polycrystalline films with reconstruction algorithms for advanced polarimetric applications.https://doi.org/10.1038/s41467-025-60914-y
spellingShingle Mingwei Ge
Yuan Yao
Tyler Wang
Subhrangsu Mukherjee
Harald Ade
Mengxia Liu
Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
Nature Communications
title Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
title_full Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
title_fullStr Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
title_full_unstemmed Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
title_short Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films
title_sort accurate single shot full stokes detection enabled by heterogeneous grain orientations in polycrystalline films
url https://doi.org/10.1038/s41467-025-60914-y
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AT tylerwang accuratesingleshotfullstokesdetectionenabledbyheterogeneousgrainorientationsinpolycrystallinefilms
AT subhrangsumukherjee accuratesingleshotfullstokesdetectionenabledbyheterogeneousgrainorientationsinpolycrystallinefilms
AT haraldade accuratesingleshotfullstokesdetectionenabledbyheterogeneousgrainorientationsinpolycrystallinefilms
AT mengxialiu accuratesingleshotfullstokesdetectionenabledbyheterogeneousgrainorientationsinpolycrystallinefilms