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

Cell Migration01:09

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
Cell Migration01:19

Cell Migration

Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker proteins that...

You might also read

Related Articles

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

Sort by
Same author

A functional amyloid matrix underpins the PDIM-architected corded superstructure of the <i>Mycobacterium tuberculosis</i> biofilm.

bioRxiv : the preprint server for biology·2026
Same author

Retinal Characteristics in Eyes With Retinal Vein Occlusion Using Widefield Swept-Source Optical Coherence Tomography Angiography.

Investigative ophthalmology & visual science·2026
Same author

Quantitative Assessment of Myocardial Infarction Scarring using Optical Coherence Tomography: towards data-driven Catheter Therapy Guidance.

IEEE transactions on bio-medical engineering·2026
Same author

Label-free in vivo molecular profiling of the human retina by non-resonant Raman spectroscopy.

Communications biology·2026
Same author

Optical coherence photoacoustic microscopy for 3D cancer model imaging with AI-assisted organoid analysis.

Light, science & applications·2026
Same author

Applicability study of AI attribution methods for ophthalmic image classification.

Scientific reports·2026

Related Experiment Video

Updated: Jun 2, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Artefact reduction for cell migration visualization using spectral domain optical coherence tomography.

Bernd Hofer1, Boris Povazay, Boris Hermann

  • 1Center of Medical Physics and Biomedical Engineering, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria.

Journal of Biophotonics
|April 27, 2011
PubMed
Summary
This summary is machine-generated.

This study addresses image artefacts in spectral domain optical coherence tomography (OCT) for visualizing cell migration. Techniques are presented to reduce noise and improve cell locomotion quantification in microscopy.

More Related Videos

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Related Experiment Videos

Last Updated: Jun 2, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Area of Science:

  • Biomedical Imaging
  • Cell Biology
  • Optical Microscopy

Background:

  • Spectral domain optical coherence tomography (OCT) is crucial for visualizing cell migration.
  • Artefacts like stripe noise and camera floor noise hinder accurate cell locomotion analysis.
  • Automated texture-based cell analysis is unreliable due to imaging artefacts.

Purpose of the Study:

  • To characterize prominent artefacts in high dynamic range OCT imaging of cells.
  • To evaluate techniques for minimizing time-varying fixed-pattern noise, stripe artefacts, and spectral shaping modulations.
  • To demonstrate the benefits of artefact reduction for cell migration studies.

Main Methods:

  • Utilized an 800 nm optical coherence microscope for imaging.
  • Characterized three specific artefacts: fixed-pattern noise, stripe artefacts, and spectral shaping modulations.
  • Applied artefact reduction techniques to OCT data of cell cultures.

Main Results:

  • Identified and characterized time-varying fixed-pattern noise, stripe artefacts, and spectral shaping modulations.
  • Demonstrated effective minimization of these artefacts using proposed techniques.
  • Showcased improved visualization and quantification of cell migration in Dictyostelium and RGC-5 cell cultures.

Conclusions:

  • The developed processing techniques significantly reduce artefacts in OCT imaging of cells.
  • Artefact reduction enhances the reliability of computer-assisted reconstruction and quantification of cell locomotion.
  • These methods are beneficial for cell migration studies and retinal imaging applications.