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Method Article

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

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DOI:

10.3791/71209

June 9th, 2026

In This Article

Summary

This protocol describes a label-free optical diffraction tomography-based workflow for real-time imaging and quantitative analysis of macrophage morphodynamics. The method enables continuous tracking of single-cell morphology and migration, providing time-resolved measurements of projected area, perimeter, and average migration speed during long-term live-cell imaging.

Abstract

This study establishes a label-free optical diffraction tomography (ODT)-based workflow for live-cell imaging and analysis to observe time-dependent morphological changes in macrophages. The method enables continuous recording of single-cell morphology and movement over extended periods under stable environmental conditions and allows extraction of quantitative parameters, including projected area, perimeter, and average migration speed. This workflow provides a practical approach for capturing dynamic cellular behaviors at the single-cell level without exogenous labeling. Using RAW264.7 macrophages as a model, time-lapse imaging was performed under lipopolysaccharide stimulation with baicalin pretreatment to capture dynamic cellular changes under different conditions. Representative cells were selected for tracking and quantitative analysis. The results show that this workflow supports stable long-term single-cell tracking and reflects temporal changes in cell morphology and motility. This approach provides a label-free method for observing dynamic cellular behaviors in response to different stimuli and can serve as a useful complement to conventional endpoint-based assays. It may also be applicable to other adherent cell types for studies of cell morphodynamics.

Introduction

Macrophages play a central role in innate immune responses and tissue homeostasis, and their functional states can dynamically change in response to microenvironmental stimuli. Traditionally, macrophages have been described as adopting pro-inflammatory or anti-inflammatory/repair-associated phenotypes1,2. However, increasing evidence suggests that macrophage activation is a continuous and plastic process rather than a discrete binary state3,4. Under different stimuli, macrophages undergo gradual changes over time, accompanied by alterations in cell morphology and migratory behavior5. Th....

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Protocol

1. Macrophage culture

CAUTION: Perform all procedures in a biosafety cabinet while wearing laboratory gloves and a lab coat.

  1. Prepare complete culture medium (high-glucose Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% foetal bovine serum (FBS) and 1% penicillin–streptomycin).
  2. Thaw a vial of RAW264.7 macrophage cells in a 37 °C water bath for less than 1 min.
  3. Transfer the cell suspension to high-glucose DMEM supplemented with 10% FBS and 1% penicillin-streptomycin.
  4. Centrifuge at 300 × g for 5 min.
  5. Discard the supernatant.
  6. ....

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Results

To evaluate the performance of the ODT-based workflow, time-lapse imaging was performed for two treatment groups (LPS and BAI + LPS), with five independent samples per group. All samples were acquired under identical imaging conditions. Due to the high workload associated with long-term single-cell tracking and quantitative analysis, one representative sample from each group was selected for single-cell analysis and visualization. The results are presented descriptively and are not intended for statistical inference.

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Discussion

This study establishes a label-free ODT-based workflow for continuous imaging and quantitative analysis of macrophage morphodynamics at the single-cell level. The approach enables time-resolved measurement of projected area, perimeter, and average migration speed during long-term live-cell imaging. Cell seeding density is a key factor affecting segmentation and tracking performance. High density results in overlapping cells, whereas low density reduces the number of analyzable cells. Therefore, seeding conditions should .......

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Disclosures

The authors declare that Jie-jie Zhu and Yan-qing Yang are affiliated with Pellucid Optics (Nantong) Co., Ltd. The ODT imaging system used in this study is related to this company. However, this affiliation did not influence the experimental design, data acquisition, analysis, or interpretation of the results. The remaining authors declare no competing interests.

Acknowledgements

This study was supported by the National Natural Science Foundation of China(U24A20790), the Ministry of Science and Technology (2022YFF0712500 and 2023YFF0722600), and the Jiangsu Provincial Department of Science and Technology(BK20250540).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
ODT imaging systemPellucid OpticsMH-PanoViewUsed for label-free live-cell imaging
Acquisition softwarePellucid Optics Lucida-Pano v2.1.0Used for image acquisition
Analysis softwarePellucid Optics Intellyseg v2.1.0Used for image reconstruction, segmentation, and tracking
RAW264.7Wuhan Zishan Biotechnology STCC20020PMurine macrophage cell line used for in vitro polarization and imaging experiments.
Baicalin (BAI)Shanghai Yuanye JB246114Used for cell pretreatment
Lipopolysaccharide (LPS)SolarbioL8880Used to stimulate macrophages
DMEM mediumGibcoC11995500BTCell culture medium
Fetal bovine serumProcell164210Supplement for cell culture
Penicillin–Streptomycin (100x)ProcellPB180120Antibiotics for cell culture
60 mm culture dishCorningCLS430166Used for cell culture
35 mm glass-bottom dishCellvisD35-10-1.5-NUsed for ODT imaging
Inverted microscopeOLYMPUSCKX53Used for routine cell observation and monitoring during culture.
Cell counterRWD Life ScienceC100Used for cell density determination

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Tags

Live Cell ImagingSingle Cell TrackingTime Lapse ImagingCell MorphologyCell MotilityRAW264 7 Macrophages
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