What is it about?

We have developed a snap-shot, fast, and accurate 4D flow reconstruction technique by taking advantage of the changes between hologram frames. The proposed joint optimization framework reconstructs particle volumes and fluid flows are reconstructed jointly in a higher space-time dimension, enabling faster convergence and better reconstruction quality of both fluid flow and particle volumes within a few minutes on modern GPUs.

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Why is it important?

We have introduced a novel holographic imaging method that is capable of recovering 3D fluid flows and particle volumes using an inline holography system, meanwhile significantly reducing the hardware setup requirements and relaxing calibration complexity. We formulate an inverse problem to reconstruct the particle volumes. A further step is taken to reconstruct the fluid velocity vector fields with the recovered particle volumes at different times. The fluid velocity vector fields further improve the particle volume reconstructions.


The spirit of making use of frame connection can push the development of other space-time optical imaging techniques with different data manifolds other than the particle volumes presented here, for example, optical diffraction tomography and X-ray ptychography, and Fourier ptychography.

Ni Chen
Seoul National University

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This page is a summary of: Snapshot Space–Time Holographic 3D Particle Tracking Velocimetry, Laser & Photonics Review, June 2021, Wiley, DOI: 10.1002/lpor.202100008.
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