Modeling classical wavefront sensors

Congli Wang, Qiang Fu, Xiong Dun, Wolfgang Heidrich

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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 languageEnglish (US)
Pages (from-to)5273
JournalOptics Express
Issue number4
StatePublished - 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.


Dive into the research topics of 'Modeling classical wavefront sensors'. Together they form a unique fingerprint.

Cite this