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Updated: Oct 17, 2025

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Tomography of irregular rough particles using the error-reduction algorithm with multi-views interferometric particle

B Delestre, M Talbi, A Abad

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|October 6, 2021

Summary

This summary is machine-generated.

This study reconstructs particle 3D shapes using simulated interferometric images and the error-reduction (ER) algorithm. This method accurately estimates particle volume, demonstrated on dendrite-like structures and programmable rough particles.

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Last Updated: Oct 17, 2025

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Published on: March 12, 2019

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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Published on: September 29, 2019

Area of Science:

Physics
Optical Metrology
Computational Imaging

Background:

Accurate 3D particle characterization is crucial for fields like materials science and fluid dynamics.
Traditional methods for particle volume estimation can be complex and time-consuming.

Purpose of the Study:

To develop and demonstrate a novel 3D particle reconstruction technique using interferometric imaging.
To enable accurate estimation of particle volume from reconstructed 3D data.

Main Methods:

Simulating three perpendicular interferometric views of a particle.
Applying the error-reduction (ER) algorithm for single-view reconstruction from interferometric patterns.
Combining reconstructed views for full 3D particle shape and volume estimation.

Main Results:

Successful 3D reconstruction of a dendrite-like particle.
Accurate estimation of particle volume was achieved.
Experimental validation using a digital micromirror device (DMD) for generating programmable rough particle interferograms.

Conclusions:

The developed interferometric imaging and ER algorithm approach provides a viable method for 3D particle reconstruction and volume estimation.
The technique is robust and adaptable, as shown by experimental demonstration with programmable particles.