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Related Experiment Video

Updated: Oct 28, 2025

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

Intensity-corrected 4D light-in-flight imaging.

Imogen Morland, Feng Zhu, Germán Mora Martín

|July 16, 2021

Summary

This summary is machine-generated.

This study introduces a new model to correct light-in-flight imaging for relativistic effects, Rayleigh scattering, and optics. This allows for accurate reconstruction of light

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Last Updated: Oct 28, 2025

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

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Published on: March 6, 2013

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Direct Imaging of Laser-driven Ultrafast Molecular Rotation

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Published on: February 4, 2017

Area of Science:

Optics and Photonics
Computational Imaging
Physics

Background:

Light-in-flight (LIF) imaging captures the dynamic path of light.
Relativistic effects and optical phenomena like Rayleigh scattering alter observed light intensity and apparent speed.
Existing LIF methods struggle to account for these intensity variations, limiting accurate path reconstruction.

Purpose of the Study:

To develop a comprehensive model for correcting light-in-flight imaging.
To accurately reconstruct the true optical path of light, accounting for intensity variations.
To enable precise four-dimensional (4D) mapping of light propagation in air.

Main Methods:

Developed a novel model to correct for relativistic effects, Rayleigh scattering, and imaging optics.
Utilized single-photon avalanche detector (SPAD) array data.
Analyzed photon arrival time and intensity distributions for laser pulses.

Main Results:

Successfully demonstrated a model that corrects for intensity variations along the light path.
Validated the model by observing laser pulse propagation towards and away from a camera.
Achieved accurate reconstruction of the true intensity-corrected optical path in 4D.

Conclusions:

The developed model accurately corrects for significant intensity changes in LIF imaging.
This enables precise reconstruction of light's true trajectory and temporal evolution.
The method advances the field of ultrafast optical measurements and imaging.