Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 1, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

Tracking colliding cells in vivo microscopy.

Nhat H Nguyen, Steven Keller, Eric Norris

IEEE Transactions on Bio-Medical Engineering

|June 3, 2011

Summary

This summary is machine-generated.

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

Right ventricular-pulmonary arterial coupling may discriminate late right heart failure outcomes in left ventricular assist device recipients.

JHLT open·2026

Same author

Do You Want to "Play"? Integrating Therapeutic Play into Care of the Older Adult.

Journal of nursing care quality·2026

Same author

Impact of Left Ventricular Venting on Acute Brain Injury in Patients With Cardiogenic Shock: An Extracorporeal Life Support Organization Registry Analysis.

Critical care medicine·2025

Same author

Early Blood Pressure Targets in Acute Spinal Cord Injury: A Randomized Clinical Trial.

JAMA network open·2025

Same author

Impact of Left Ventricular Venting on Acute Brain Injury in Patients with Cardiogenic Shock: An Extracorporeal Life Support Organization Registry Analysis.

medRxiv : the preprint server for health sciences·2024

Same author

Clinical Use of Bedside Portable Ultra-Low-Field Brain Magnetic Resonance Imaging in Patients on Extracorporeal Membrane Oxygenation: Results From the Multicenter SAFE MRI ECMO Study.

Circulation·2024

Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026

Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026

Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026

Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026

Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026

Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026

See all related articles

This study introduces an automated method to track leukocyte motion during collisions in vivo. The new approach improves accuracy in analyzing immune cell behavior during inflammation.

Area of Science:

Immunology
Cell Biology
Biomedical Imaging

Background:

Leukocyte motion is crucial for innate immunity during infection.
Intravital microscopy allows in vivo imaging of leukocyte dynamics.
Cell collisions cause complex motion and appearance changes, challenging manual and automatic tracking.

Purpose of the Study:

To develop an automated method for tracking multiple leukocytes undergoing collisions.
To improve the robustness of leukocyte motion analysis in inflammatory conditions.

Main Methods:

Modeling appearance and motion for distinct collision states.
Testing hypotheses for state transitions during collisions.
Utilizing in vivo intravital microscopy image sequences for demonstration.

More Related Videos

Live-cell Imaging of Migrating Cells Expressing Fluorescently-tagged Proteins in a Three-dimensional Matrix

Live-cell Imaging of Migrating Cells Expressing Fluorescently-tagged Proteins in a Three-dimensional Matrix

Published on: December 22, 2011

Analyzing In Vivo Cell Migration using Cell Transplantations and Time-lapse Imaging in Zebrafish Embryos

Analyzing In Vivo Cell Migration using Cell Transplantations and Time-lapse Imaging in Zebrafish Embryos

Published on: April 29, 2016

Related Experiment Videos

Last Updated: Jun 1, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

Live-cell Imaging of Migrating Cells Expressing Fluorescently-tagged Proteins in a Three-dimensional Matrix

Live-cell Imaging of Migrating Cells Expressing Fluorescently-tagged Proteins in a Three-dimensional Matrix

Published on: December 22, 2011

Analyzing In Vivo Cell Migration using Cell Transplantations and Time-lapse Imaging in Zebrafish Embryos

Analyzing In Vivo Cell Migration using Cell Transplantations and Time-lapse Imaging in Zebrafish Embryos

Published on: April 29, 2016

Main Results:

Successfully tracked 71% of colliding cells.
Tracking accuracy improved with increased collision duration.
Achieved 88% correct tracking of colliding cells with good initial detection.

Conclusions:

The developed method significantly minimizes tracking failures during cell collisions.
Enables more robust analysis of leukocyte behavior in inflammatory responses.
Facilitates a deeper understanding of immune cell dynamics in vivo.