4.5 Article

Three-dimensions volumetric deconvolution in coherent optics and holography

Journal

APPLIED OPTICS
Volume 60, Issue 5, Pages 1304-1314

Publisher

Optica Publishing Group
DOI: 10.1364/AO.412736

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The study introduces methods of three-dimensional deconvolution and demonstrates the effectiveness of recovering different types of samples through non-iterative and iterative algorithms. It is shown that only iterative algorithms combined with optimal protocols can accurately recover the 3D sample distribution.
Methods of three-dimensional deconvolution (3DD) or volumetric deconvolution of optical complex-valued wavefronts diffracted by 3D samples with the 3D point spread function are presented. Particularly, the quantitative correctness of the recovered 3D sample distributions is addressed. Samples consisting of point-like objects can be retrieved from their 3D diffracted wavefronts with non-iterative (Wiener filter) 3DD. Continuous extended samples, including complex-valued (phase) samples, can be retrieved with iterative (Gold and Richardson-Lucy) 3DD algorithms. It is shown that quantitatively correct 3D sample distribution can be recovered only with iterative 3DD, and with the optimal protocols provided. It is demonstrated that 3DD can improve the lateral resolution to the resolution limit, and the axial resolution can be at least four times better than the resolution limit. The presented 3DD methods of complex-valued optical fields can be applied for 3D optical imaging and holography. (C) 2021 Optical Society of America

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