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Updated: Aug 15, 2025

Fourier-Based Diffraction Analysis of Live Caenorhabditis elegans
Published on: September 13, 2017
Inverse diffraction in phase space
This study clarifies inverse diffraction, which recovers input fields from forward-propagated data. Using phase space analysis and the Wigner distribution function, it reveals geometric similarities between forward and inverse diffraction.
Area of Science:
- Computational Optics
- Wave Propagation Physics
Background:
- Inverse diffraction is crucial for computational optics, enabling simulations of round-trip wave propagation.
- Existing ambiguities in inverse diffraction necessitate a re-examination of the problem.
Purpose of the Study:
- To provide an exhaustive analysis of inverse diffraction using a phase space perspective.
- To clarify ambiguities related to diffraction kernels and negative propagation distances.
Main Methods:
- Phase space analysis utilizing the Wigner distribution function.
- Geometric interpretation of forward and inverse diffraction as phase space diagram (PSD) transformations.
Main Results:
- Forward and inverse diffraction are shown to be equivalent to the deformation and recovery of the PSD.
- Symmetries in PSD transformations for different inverse diffraction forms are identified.
- Ambiguities concerning diffraction kernel conjugation and negative diffraction distance are resolved.
Conclusions:
- Phase space analysis offers an intuitive framework for understanding inverse diffraction.
- This approach simplifies the study of 3D wave field propagation, including holographic phase conjugation.
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