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arXiv · 2103.05808

Large-scale holographic particle 3D imaging with the beam propagation model

Hao Wang·Waleed Tahir·Jiabei Zhu·Lei Tian
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Abstract

We develop a novel algorithm for large-scale holographic reconstruction of 3D particle fields. Our method is based on a multiple-scattering beam propagation method (BPM) combined with sparse regularization that enables recovering dense 3D particles of high refractive index contrast from a single hologram. We show that the BPM-computed hologram generates intensity statistics closely matching with the experimental measurements and provides up to 9$\times$ higher accuracy than the single-scattering model. To solve the inverse problem, we devise a computationally efficient algorithm, which reduces the computation time by two orders of magnitude as compared to the state-of-the-art multiple-scattering-based technique. We demonstrate superior reconstruction accuracy in both simulations and experiments under different scattering strengths. We show that the BPM reconstruction significantly outperforms the single-scattering method in particular for deep imaging depths and high particle densities.

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Hao Wang, Waleed Tahir, Jiabei Zhu, Lei Tian. 2021-03-10. Large-scale holographic particle 3D imaging with the beam propagation model. https://doi.org/10.1364/oe.424752

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