Poisson wavefront imaging in photon-starved scenarios

Low-photon phase imaging is essential in applications where the signal is limited by short exposure times, faint targets, or the need to protect delicate samples. We address this challenge with Poisson Wavefront Imaging (PWI), an optimization-based method that incorporates Poisson photon statistics and a smoothness prior to improve wavefront reconstruction. By using multiple spatial light modulator's phase patterns, PWI enhances Fisher information, boosting theoretical accuracy and regularizing the retrieval process effectively. In simulations, PWI approaches the theoretical phase error limit, and in experiments it reduces phase error by up to 1.6x compared to the Gerchberg-Saxton algorithm, achieving high resolution wavefront imaging with only a few photons per detector pixel. This method advances photon-limited imaging with applications in astronomy, semiconductor metrology, and biological systems.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1364/opticaopen.30223318
Primary Topic
Adaptive optics and wavefront sensing
Type
article
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Poisson wavefront imaging in photon-starved scenarios

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Adaptive optics and wavefront sensing
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Poisson wavefront imaging in photon-starved scenarios

Vaneet Aggarwal, Leif Bauer, Andrew Schramka, Peter Menart, Seungman Choi, In‐Yong Park, Zubin Jacob
article en

Abstract

Low-photon phase imaging is essential in applications where the signal is limited by short exposure times, faint targets, or the need to protect delicate samples. We address this challenge with Poisson Wavefront Imaging (PWI), an optimization-based method that incorporates Poisson photon statistics and a smoothness prior to improve wavefront reconstruction. By using multiple spatial light modulator's phase patterns, PWI enhances Fisher information, boosting theoretical accuracy and regularizing the retrieval process effectively. In simulations, PWI approaches the theoretical phase error limit, and in experiments it reduces phase error by up to 1.6x compared to the Gerchberg-Saxton algorithm, achieving high resolution wavefront imaging with only a few photons per detector pixel. This method advances photon-limited imaging with applications in astronomy, semiconductor metrology, and biological systems.

Openalex Percentile: Top 79%
Adaptive optics and wavefront sensing
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