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

Pvr and Pvf2 Are Essential for Valve Cell Differentiation in the Larval Drosophila Heart.

Genesis (New York, N.Y. : 2000)·2026
Same author

Endosomal maturation is controlled by the trimeric Bulli-Mon1-Ccz1 Rab7 GEF complex and the Rab5 GTPase-activating protein GAPsec.

Journal of cell science·2026
Same author

Newfoundland Mutation <i>TMEM43</i>-p.S358L Causes Impaired Cardiac Energy Metabolism and Mitochondrial Function Through Altered Protein Interaction.

Circulation. Genomic and precision medicine·2026
Same author

An ARVC-5 Drosophila knock-in model reveals new functions of Tmem43 in lipid homeostasis.

Biology open·2026
Same author

Accelerated 3D MRI for ARIA monitoring in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Live imaging of human airway epithelial repair in precision-cut lung slices after targeted cell damage.

Biochemistry and biophysics reports·2026

Related Experiment Video

Updated: Jan 3, 2026

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

10.6K

Tile-Based Two-Dimensional Phase Unwrapping for Digital Holography Using a Modular Framework.

Georgios C Antonopoulos1, Benjamin Steltner1, Alexander Heisterkamp2

  • 1Biomedical Optics Department, Laser Zentrum Hannover e.V., Hanover, Germany.

Plos One
|November 25, 2015
PubMed
Summary
This summary is machine-generated.

Phase unwrapping algorithms are crucial for imaging techniques. Novel tile-based methods improve accuracy by using model-based unwrapping and quality-guided merging, enhancing results in noisy data.

More Related Videos

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

8.8K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.6K

Related Experiment Videos

Last Updated: Jan 3, 2026

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

10.6K
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

8.8K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.6K

Area of Science:

  • * Physics
  • * Biomedical Imaging
  • * Signal Processing

Background:

  • * Many imaging techniques measure phase, but it's often 'wrapped' (modulo 2π).
  • * Phase unwrapping recovers the true phase from wrapped data.
  • * Tile-based algorithms offer efficiency and noise robustness but struggle with residues and tile errors.

Purpose of the Study:

  • * To develop novel, robust tile-based phase unwrapping algorithms.
  • * To create a modular framework for combining and testing unwrapping methods.
  • * To improve phase unwrapping accuracy, especially with phase residues and noise.

Main Methods:

  • * Implemented a model-based algorithm using linear algebra for robust tile unwrapping.
  • * Adapted a pixel-based algorithm for quality-guided tile merging.
  • * Developed a modular C++ framework integrating existing and novel algorithms.

Main Results:

  • * Demonstrated that specific unwrapping and merging algorithm combinations significantly improve results.
  • * Showcased enhanced performance in the presence of phase residues and noise.
  • * Validated the modular framework's utility for designing and testing new algorithms.

Conclusions:

  • * Novel tile unwrapping and merging algorithms enhance phase unwrapping accuracy.
  • * A modular framework facilitates efficient development and testing of phase unwrapping techniques.
  • * Freely available software supports further research and application.