Modal-based adaptive autofocusing phase retrieval for wavefront measurement

Lei Zhao; Jian Bai; Jing Hou

doi:10.1117/12.2575015

10 October 2020 Modal-based adaptive autofocusing phase retrieval for wavefront measurement

Lei Zhao, Jian Bai, Jing Hou

Proceedings Volume 11548, Optical Design and Testing X; 1154805 (2020) https://doi.org/10.1117/12.2575015
Event: SPIE/COS Photonics Asia, 2020, Online Only

Abstract

In the Multi-intensities phase retrieval processing, the measurement uncertainty of the defocus distance undermines its measurement accuracy. In this paper, using a general phase retrieval experimental arrangement, we propose an adaptive autofocusing nonlinear optimization phase retrieval algorithm based on the extended Nijboer-Zernike (ENZ) theory. This method concurrently accomplishes correction of defocusing position error and the wavefront measurement requiring without additional facility. The numerical experiments show that the proposed method accuracy searching for the optimal defocusing position is superior to 10 μm among different measurement planes. The numerical experiments show that the wavefront measurement accuracy with the proposed method is superior to λ/100 , RMSE.

Conference Presentation

Citation Download Citation

Lei Zhao, Jian Bai, and Jing Hou "Modal-based adaptive autofocusing phase retrieval for wavefront measurement", Proc. SPIE 11548, Optical Design and Testing X, 1154805 (10 October 2020); https://doi.org/10.1117/12.2575015

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