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

Data modeling the interplay between single-cell shape, single-cell protein expression, and tissue state.

Cell reports methods·2026
Same author

Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Non-invasive quantification of viability in liver spheroids using deep learning.

Frontiers in bioengineering and biotechnology·2026
Same author

Towards noninvasive blood count using a deep learning pipeline from bulbar conjunctiva videos.

NPJ digital medicine·2026
Same author

<i>Porphyromonas gingivalis</i> secreted factors drive epithelial-mesenchymal transition (EMT) through gingipains and an H<sub><b>2</b></sub>S-mediated bacterial defense system.

Gut microbes·2026
Same author

Ferroptosis induces heterogeneous death profiles that are controlled by lysosome rupture.

Developmental cell·2026
Same journal

Modeling and analysis of forward and inverse kinematics for a flexible Stewart platform.

PloS one·2026
Same journal

Barriers and facilitators to healthcare utilization amongst people living with sickle cell disease in the United States: A scoping review.

PloS one·2026
Same journal

Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.

PloS one·2026
Same journal

Key targets and mechanisms by which gut microbiota-derived metabolites regulate Alzheimer's disease through the immune - inflammatory pathway: Based on network pharmacology and molecular docking.

PloS one·2026
Same journal

Grid-tied Transformer-less Boost Switched Capacitor Topology (TLBSCT) for PV applications.

PloS one·2026
Same journal

The load-velocity profiles and exercise-specific velocity zones for seven commonly used weightlifting exercises.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Cell motility dynamics: a novel segmentation algorithm to quantify multi-cellular bright field microscopy images.

Assaf Zaritsky1, Sari Natan, Judith Horev

  • 1Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.

Plos One
|November 19, 2011
PubMed
Summary
This summary is machine-generated.

A new algorithm, MultiCellSeg, accurately segments multi-cellular regions in bright field images for enhanced cell motility analysis. This method improves quantification in cell migration models like wound healing and scatter assays.

More Related Videos

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
07:13

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Published on: February 13, 2021

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans
08:47

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

Related Experiment Videos

Last Updated: May 27, 2026

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
07:13

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Published on: February 13, 2021

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans
08:47

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

Area of Science:

  • Cell Biology
  • Molecular Imaging
  • Bioinformatics

Background:

  • Confocal microscopy is standard for cell biology and molecular imaging.
  • Accurate quantification algorithms are crucial for understanding biological phenomena.
  • Existing methods may lack robustness or require parameter tuning.

Purpose of the Study:

  • To develop a novel, parameter-free image segmentation algorithm for analyzing multi-cellular regions in bright field microscopy.
  • To enhance quantitative analysis of cell motility and migration assays.
  • To provide a robust tool for biological research.

Main Methods:

  • Developed MultiCellSeg, a segmentation algorithm using a cascade of Support Vector Machines (SVMs) on local image patches.
  • Implemented post-processing with graph-cut segmentation for refining segmentation accuracy.
  • Applied the algorithm to analyze wound healing and scatter assays using bright field and differential interference contrast (DIC) images.

Main Results:

  • MultiCellSeg demonstrated superior performance compared to alternative algorithms in wound healing assays.
  • Quantified a two-fold acceleration in healing rate by Hepatocyte growth factor/scatter factor (HGF/SF).
  • Developed a fully automated method to classify scatter-assay images, showing multi-cellular texture as a key descriptor for HGF/SF-induced scattering.

Conclusions:

  • The proposed MultiCellSeg approach offers a robust, parameter-free solution for quantitative analysis of cell migration.
  • Exploiting textural information in DIC images at the multi-cellular level is beneficial for assay analysis.
  • The generic algorithm can be integrated with existing methods for objective biological data analysis.