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Related Experiment Video

Updated: Mar 31, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

High fidelity digital inline holographic method for 3D flow measurements.

Mostafa Toloui, Jiarong Hong

|October 20, 2015

Summary

A new digital inline holographic particle tracking velocimetry (DIH-PTV) method enhances 3D flow measurements. This technique overcomes previous limitations, enabling higher tracer concentrations and faster computations for improved accuracy.

Area of Science:

Fluid dynamics
Optical measurement techniques
Microfluidics

Background:

Digital inline holographic particle tracking velocimetry (DIH-PTV) offers high spatial resolution for 3D flow diagnostics.
Existing DIH-PTV methods face limitations in longitudinal resolution, manual parameter tuning, tracer concentration, and computational cost.
These limitations hinder the widespread adoption of DIH-PTV for high-resolution 3D flow measurements.

Purpose of the Study:

To introduce a novel holographic particle extraction method to overcome the major limitations of DIH-PTV.
To improve the accuracy, efficiency, and applicability of DIH-PTV for 3D flow measurements.
To enable potential commercialization of DIH-PTV technology.

Main Methods:

A multi-step holographic particle extraction process including 3D deconvolution, automated signal-to-noise ratio enhancement, and inverse iterative particle extraction.

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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

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Last Updated: Mar 31, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

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Implementation of a GPU-based algorithm for significant computational speed-up.

Validation using synthetic particle holograms, microchannel laminar flow experiments, and DNS turbulent channel flow data.

Main Results:

Achieved over 95% particle extraction rate with less than 3% fake particles.
Maintained a maximum position error below 1.6 particle diameters.
Successfully processed holograms with particle concentrations exceeding 3000 particles/mm³.
Demonstrated applicability in both laminar microchannel flow and complex turbulent flow fields.

Conclusions:

The proposed method significantly enhances DIH-PTV capabilities by addressing key limitations.
The GPU-accelerated approach enables high-throughput, accurate 3D particle tracking velocimetry.
This advancement paves the way for broader implementation and commercialization of DIH-PTV for detailed flow analysis.