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Multi-wavelength phase retrieval for coherent diffractive imaging.

Erik Malm, Edwin Fohtung, Anders Mikkelsen

|December 28, 2020

Summary

This summary is machine-generated.

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This study generalizes phase retrieval for multi-wavelength coherent diffractive imaging. The method recovers separate signal reconstructions for each wavelength, enhancing imaging possibilities.

Area of Science:

Optics and Photonics
Computational Imaging
Signal Processing

Background:

Phase retrieval reconstructs complex signals from amplitude measurements.
Coherent diffractive imaging (CDI) is a powerful microscopy technique.
Multi-wavelength data offers potential for enhanced CDI.

Purpose of the Study:

To generalize phase retrieval for multi-wavelength CDI.
To exploit wavelength-dependent support scaling for improved reconstructions.
To explore limitations and performance factors of the method.

Main Methods:

Developed a generalized phase retrieval algorithm for multi-wavelength data.
Utilized wavelength-dependent support domain scaling.
Performed numerical simulations varying source spectrum, sample geometry, and complexity.

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Last Updated: Nov 24, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Published on: March 20, 2017

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Main Results:

Successfully recovered separate phase reconstructions for each wavelength.
Demonstrated new possibilities for CDI experiments with multi-wavelength data.
Investigated limitations related to the constraint ratio and number of wavelengths.

Conclusions:

The generalized phase retrieval method enhances multi-wavelength CDI capabilities.
Wavelength-dependent support scaling is key to successful multi-wavelength reconstruction.
The method's performance is predictable based on simulation parameters.