Three-dimensional volumetric deconvolution in coherent optics and holography

TL;DR

This paper introduces methods for three-dimensional volumetric deconvolution in coherent optics and holography, improving resolution and accuracy in reconstructing 3D samples from complex optical wavefronts.

Contribution

It presents both non-iterative and iterative 3D deconvolution algorithms, demonstrating their effectiveness in accurate 3D sample recovery and resolution enhancement.

Findings

Iterative 3DD achieves quantitatively correct 3D reconstructions.

3DD improves lateral resolution to the limit.

Axial resolution can be at least four times better than the limit.

Abstract

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 only recovered 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.