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Imaging of Extracellular Vesicles by Atomic Force Microscopy
Published on: September 11, 2019
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Brownian Motion Influence on AFM Exosomes' Size Measurements
Katarzyna Życieńska1, Beata Pszczółkowska1, Beata Brzozowska1
1Biomedical Physics Division, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 5 Pasteura Street, 02-093 Warsaw, Poland.
International Journal of Molecular Sciences
|September 9, 2022
Summary
This study reveals that extracellular vesicle size measurements using atomic force microscopy (AFM) are influenced by Brownian motion and sample preparation time. Hydrodynamic size from nanoparticle tracking analysis (NTA) relates to geometric size via a scaling factor.
Area of Science:
- Biophysics
- Nanotechnology
- Cell Biology
Background:
- Extracellular vesicles (EVs) are crucial for intercellular communication.
- Accurate size characterization of EVs is vital for understanding their function.
- Nanoparticle tracking analysis (NTA) measures hydrodynamic diameter, while atomic force microscopy (AFM) measures geometric diameter.
Purpose of the Study:
- To investigate the impact of Brownian motion and sample preparation time on AFM-based EV size measurements.
- To establish the relationship between geometric (AFM) and hydrodynamic (NTA) sizes of EVs.
- To compare experimental findings with Monte Carlo simulations for exosome analysis.
Main Methods:
- Evaluation of exosomes from the PC3 human prostate cancer cell line using NTA and AFM.
- Analysis of size measurements under varying sample drop conditions and preparation times.
- Application of Monte Carlo simulations to model and validate experimental results.
Main Results:
- AFM measurements of exosome size on mica substrates are initially underestimated due to Brownian motion and lipid bilayer stretching.
- Thinner sample drops and shorter preparation times lead to faster and more accurate AFM size determination.
- A linear scaling factor connects the geometric (AFM) and hydrodynamic (NTA) diameters, characterizing the EVs.
Conclusions:
- Brownian motion and lipid bilayer dynamics significantly affect AFM imaging of EVs.
- Optimized sample preparation is critical for reliable AFM-based exosome size quantification.
- The identified scaling factor provides a method to correlate AFM and NTA size data for EV characterization.

