Automatic phase aberration compensation for digital holographic microscopy based on rotation and transpose

Dingnan Deng; Weijuan Qu; Wenqi He; Xiaoli Liu; Xiang Peng

doi:10.1117/12.2541687

16 October 2019 Automatic phase aberration compensation for digital holographic microscopy based on rotation and transpose

Dingnan Deng, Weijuan Qu, Wenqi He, Xiaoli Liu, Xiang Peng

Author Affiliations +

Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 1120505 (2019) https://doi.org/10.1117/12.2541687
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand

Abstract

Digital holographic microscopy is a well-known powerful technique for quantitative phase measurement. However, the object phase is always embedded in aberrations. Here, a simple numerical compensation method based on rotation and transpose is reported. At first, we can obtain transpose phase by doing transpose transformation for original unwrapped phase. After subtracting transpose phase from original unwrapped phase, the subtraction phase is obtained and parts of aberrations also can be compensated. Subsequently, the rotation phase is obtained by doing rotation transformation with 180° for subtraction phase. Then, the residual phase aberrations are eliminated by subtracting rotation phase from subtraction phase. Not only off-axis tilt and parabolic phase aberration but also high order aberrations are removed without fitting operation or prior parameter of the specimen. The great performance makes our scheme available for single-shot quantitative phase imaging. The simulation results demonstrate the feasibility of our proposal.

Citation Download Citation

Dingnan Deng, Weijuan Qu, Wenqi He, Xiaoli Liu, and Xiang Peng "Automatic phase aberration compensation for digital holographic microscopy based on rotation and transpose", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 1120505 (16 October 2019); https://doi.org/10.1117/12.2541687

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KEYWORDS

Digital holography

Microscopy

Holography

Numerical analysis

Biomedical optics

Imaging systems

Optical signal processing

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