Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Morphometrics of the preserved post-surgical hemisphere in pediatric drug-resistant epilepsy and implications for post-operative cognition.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Cross-sectional and longitudinal changes in category selectivity in visual cortex following pediatric cortical resection.

Communications biology·2025
Same author

Polarization-dependent statistical models of sea clutter.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Effects of surface roughness of a waveplate on the development of diffractive polarization speckle.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Functional resilience of the neural visual recognition system post-pediatric occipitotemporal resection.

iScience·2024
Same author

Cross-sectional and longitudinal changes in category-selectivity in visual cortex following pediatric cortical resection.

bioRxiv : the preprint server for biology·2024

Related Experiment Video

Updated: Jun 25, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Fast-convergent algorithm for speckle-based phase retrieval and a design for dynamic wavefront sensing.

Percival F Almoro1, Anne Margarette S Maallo, Steen G Hanson

  • 1DTU-Fotonik, Department of Photonics Engineering, Danish Technical University, Roskilde 4000, Denmark. percival.almoro@risoe.dk

Applied Optics
|March 12, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new iterative algorithm for wavefront reconstruction using speckle patterns. The method enhances phase convergence speed and analyzes key factors affecting performance, paving the way for dynamic wavefront sensing.

More Related Videos

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

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

Published on: July 5, 2016

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Related Experiment Videos

Last Updated: Jun 25, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

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

Published on: July 5, 2016

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Area of Science:

  • Optics and photonics
  • Wavefront sensing and metrology
  • Digital image processing

Background:

  • Wavefront reconstruction is crucial for optical system aberration correction.
  • Traditional methods can be slow or require complex setups.
  • Speckle pattern analysis offers a robust approach for phase retrieval.

Purpose of the Study:

  • To develop and demonstrate a novel, fast-convergent iterative algorithm for wavefront reconstruction.
  • To analyze the impact of various parameters on the phase convergence rate.
  • To propose a conceptual design for a dynamic wavefront sensor.

Main Methods:

  • Utilized sequentially recorded speckle patterns.
  • Employed an iterative phase retrieval method based on wave propagation.
  • Implemented a novel algorithm maintaining propagation distance equal to the distance between measurement planes.
  • Conducted experimental analysis of algorithm performance.

Main Results:

  • Demonstrated a fast-convergent iterative algorithm for wavefront reconstruction.
  • Quantified the influence of measurement planes, iterations, and detector positioning uncertainties on convergence rate.
  • Identified key parameters affecting the speed and accuracy of phase retrieval.

Conclusions:

  • The novel algorithm significantly improves phase convergence in wavefront reconstruction.
  • The findings provide insights for optimizing dynamic wavefront sensor design.
  • Experimental validation confirms the algorithm's effectiveness and robustness.