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Related Experiment Video

Updated: Jul 1, 2026

Time-lapse 3D Imaging of Phagocytosis by Mouse Macrophages

Time-lapse 3D Imaging of Phagocytosis by Mouse Macrophages

Published on: October 19, 2018

Real-Time Label-Free Imaging and Quantitative Analysis of Macrophage Morphodynamics Using Optical Diffraction

Chen Sun¹, Jie-Jie Zhu², Yan-Qing Yang²

¹Sichuan Provincial Key Laboratory of Innovation and Efficient Utilization of Chinese Medicine Germplasm Resources, Chengdu University of Traditional Chinese Medicine.

Journal of Visualized Experiments : Jove

|June 29, 2026

Summary

This summary is machine-generated.

This study introduces a label-free optical diffraction tomography workflow for live-cell imaging. It tracks macrophage morphology and movement over time, providing quantitative data without cell labeling.

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Last Updated: Jul 1, 2026

Time-lapse 3D Imaging of Phagocytosis by Mouse Macrophages

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Published on: October 19, 2018

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

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Published on: November 19, 2018

Area of Science:

Cell Biology
Biophysics
Microscopy

Background:

Live-cell imaging is crucial for understanding dynamic cellular processes.
Traditional methods often require exogenous labeling, which can affect cell behavior.
Observing morphological changes and motility in real-time is essential for studying cell responses.

Purpose of the Study:

To establish a label-free workflow using optical diffraction tomography (ODT) for live-cell imaging and analysis.
To enable continuous, long-term observation of single-cell morphology and movement under stable conditions.
To quantify dynamic cellular behaviors, such as projected area, perimeter, and migration speed.

Main Methods:

Developed a label-free optical diffraction tomography (ODT)-based workflow.
Performed time-lapse imaging of RAW264.7 macrophages under lipopolysaccharide stimulation and baicalin pretreatment.
Utilized ODT for quantitative analysis of single-cell morphology and motility over extended periods.

Main Results:

The ODT workflow enabled stable, long-term tracking of individual macrophages.
Quantitative parameters like projected area, perimeter, and migration speed were extracted.
The method successfully reflected temporal changes in cell morphology and motility in response to stimuli.

Conclusions:

The label-free ODT workflow provides a practical approach for observing dynamic cellular behaviors without exogenous labeling.
This method complements conventional assays by offering continuous, quantitative insights into cell morphodynamics.
The workflow is potentially applicable to other adherent cell types for studying cellular responses to various conditions.