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

Ethanol-driven structural transitions of human serum albumin and surface-assisted 2D network formation on Ti-6Al-4V: A kinetic-morphological map.

Colloids and surfaces. B, Biointerfaces·2026
Same author

Human Colitis-on-Chip Model Reveals Dual Roles of Butyrate in Epithelial and Macrophage Defense Against Candida albicans Tissue Invasion.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Lymphoid tissue chemokines limit priming duration to preserve CD8<sup>+</sup> T cell functionality.

Science (New York, N.Y.)·2026
Same author

Expression of Human CEACAM Receptors Promotes Inflammation and Organ Damage During Systemic <i>Candida albicans</i> Infection in Mice.

Cells·2026
Same author

Homeostatic mature dendritic cells instruct fibroblast specialization via Notch2 signaling to establish T cell niches.

Immunity·2026
Same author

Integration of biochemical and physical cues by patrolling CD8<sup>+</sup> T cells.

Trends in immunology·2026

Related Experiment Video

Updated: Dec 24, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.5K

Dynamic spherical harmonics approach for shape classification of migrating cells.

Anna Medyukhina1,2, Marco Blickensdorf1, Zoltán Cseresnyés1

  • 1Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (HKI), Jena, Germany.

Scientific Reports
|April 10, 2020
PubMed
Summary

Dynamic spherical harmonics (SPHARM) analysis improves cell migration pattern classification. This advanced method offers greater accuracy than static SPHARM, identifying key factors influencing cell shape and migration.

More Related Videos

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials
08:53

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Published on: March 7, 2025

1.1K
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

6.6K

Related Experiment Videos

Last Updated: Dec 24, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.5K
Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials
08:53

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Published on: March 7, 2025

1.1K
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

6.6K

Area of Science:

  • Biophysics
  • Cell Biology
  • Computational Biology

Background:

  • Cell migration is crucial for biological processes and involves dynamic cell shape changes.
  • Spherical harmonics (SPHARM) are advanced shape descriptors used for analyzing cell morphology.
  • Existing SPHARM applications in cell migration have not fully utilized spectral dynamics.

Purpose of the Study:

  • To investigate if incorporating dynamic SPHARM spectra enhances cell migration pattern classification.
  • To compare the classification accuracy of static versus dynamic SPHARM approaches.

Main Methods:

  • Utilized both static and dynamic SPHARM spectral analysis.
  • Employed a support-vector-machine classifier to categorize cell migration patterns.
  • Validated the approach using both synthetic and experimental cell migration data.

Main Results:

  • Dynamic SPHARM analysis demonstrated superior classification accuracy compared to static SPHARM for both synthetic and experimental data.
  • The method successfully identified experimental conditions and model parameters significantly impacting cell shape.

Conclusions:

  • Dynamic SPHARM analysis provides a more accurate method for classifying cell migration patterns.
  • This approach can identify critical factors influencing cell migration, aiding future research.