Four dimensional phase unwrapping of dynamic objects in digital holography

TL;DR

This paper introduces a four-dimensional phase unwrapping method for dynamic objects in digital holography, leveraging all spatial, angular, and temporal data to improve reconstruction of optically thick objects.

Contribution

The paper presents a novel 4D phase unwrapping algorithm that enhances reconstruction quality by utilizing all four dimensions of dynamic holographic data, including angular and temporal information.

Findings

Algorithm performs well on simulated data, matching ground truth.

Experimental validation with dual-angular holography demonstrates practical applicability.

Improves reconstruction of optically thick objects in dynamic holography.

Abstract

We present a new four-dimensional phase unwrapping approach for time-lapse quantitative phase microscopy, which allows reconstruction of optically thick objects that are optically thin in a certain temporal point and angular view. We thus use all four dimensions of the dynamic quantitative phase profile acquired, including the angular dimension and the temporal dimension, in addition to the x-y dimensions. We first demonstrate the capabilities of this algorithm on simulative data, enabling the quantification of the reconstruction quality relative to both the ground truth and existing unwrapping approaches. Then, we demonstrate the applicability of the proposed four-dimensional phase unwrapping algorithm by experimentally capturing a dual-angular dynamic off-axis hologram with simultaneous recording of two angular views, using multiplexing of two off-axis holograms into a single multiplexed hologram.