Modeling classical wavefront sensors

Congli Wang; Qiang Fu; Xiong Dun; Wolfgang Heidrich

doi:10.1364/OE.381349

Modeling classical wavefront sensors

Congli Wang, Qiang Fu, Xiong Dun, Wolfgang Heidrich

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

We present an image formation model for deterministic phase retrieval in propagation-based wavefront sensing, unifying analysis for classical wavefront sensors such as Shack-Hartmann (slopes tracking) and curvature sensors (based on Transport-of-Intensity Equation). We show how this model generalizes commonly seen formulas, including Transport-of-Intensity Equation, from small distances and beyond. Using this model, we analyze theoretically achievable lateral wavefront resolution in propagation-based deterministic wavefront sensing. Finally, via a prototype masked wavefront sensor, we show simultaneous bright field and phase imaging numerically recovered in real-time from a single-shot measurement.

Original language	English (US)
Pages (from-to)	5273
Journal	Optics Express
Volume	28
Issue number	4
DOIs	https://doi.org/10.1364/OE.381349
State	Published - Feb 2 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: King Abdullah University of Science and Technology (Center Partnership Funding, Individual Baseline Funding). Portions of this work were presented at the Computational Optical Sensing and Imaging (COSI) Meeting in 2019, paper number CM1A.4.

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https://repository.kaust.edu.sa/bitstream/10754/661616/1/oe-28-4-5273.pdf

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title = "Modeling classical wavefront sensors",

abstract = "We present an image formation model for deterministic phase retrieval in propagation-based wavefront sensing, unifying analysis for classical wavefront sensors such as Shack-Hartmann (slopes tracking) and curvature sensors (based on Transport-of-Intensity Equation). We show how this model generalizes commonly seen formulas, including Transport-of-Intensity Equation, from small distances and beyond. Using this model, we analyze theoretically achievable lateral wavefront resolution in propagation-based deterministic wavefront sensing. Finally, via a prototype masked wavefront sensor, we show simultaneous bright field and phase imaging numerically recovered in real-time from a single-shot measurement.",

author = "Congli Wang and Qiang Fu and Xiong Dun and Wolfgang Heidrich",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: King Abdullah University of Science and Technology (Center Partnership Funding, Individual Baseline Funding). Portions of this work were presented at the Computational Optical Sensing and Imaging (COSI) Meeting in 2019, paper number CM1A.4.",

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AU - Fu, Qiang

AU - Dun, Xiong

AU - Heidrich, Wolfgang

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AB - We present an image formation model for deterministic phase retrieval in propagation-based wavefront sensing, unifying analysis for classical wavefront sensors such as Shack-Hartmann (slopes tracking) and curvature sensors (based on Transport-of-Intensity Equation). We show how this model generalizes commonly seen formulas, including Transport-of-Intensity Equation, from small distances and beyond. Using this model, we analyze theoretically achievable lateral wavefront resolution in propagation-based deterministic wavefront sensing. Finally, via a prototype masked wavefront sensor, we show simultaneous bright field and phase imaging numerically recovered in real-time from a single-shot measurement.

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Modeling classical wavefront sensors

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