Nanoparticle Imaging
Nanoparticle Imaging - Related Videos
14:04
Viral Nanoparticles for In vivo Tumor Imaging
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Cited by 45 •
2012
Plant viral nanoparticles (VNPs) are promising platforms for applications in biomedicine. Here, we describe the procedures for plant VNP propagation, purification, characterization, and bioconjugation. Finally, we show the application of VNPs for tumor homing and imaging using a mouse xenograft model and fluorescence imaging.
08:04
Evaluation of Nanoparticle Uptake in Tumors in Real Time Using Intravital Imaging
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Cited by 51 •
2011
We present a novel approach to quantify nanoparticle localization in the vasculature of human xenografted tumors using dynamic, real-time intravital imaging in an avian embryo model.
11:28
Biofunctionalized Prussian Blue Nanoparticles for Multimodal Molecular Imaging Applications
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Cited by 17 •
2015
This protocol describes the synthesis of biofunctionalized Prussian blue nanoparticles and their use as multimodal, molecular imaging agents. The nanoparticles have a core-shell design where gadolinium or manganese ions within the nanoparticle core generate MRI contrast. The biofunctional shell contains fluorophores for fluorescence imaging and targeting ligands for molecular targeting.
18:07
Analyzing Cellular Internalization of Nanoparticles and Bacteria by Multi-spectral Imaging Flow Cytometry
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Cited by 60 •
2012
In this article, we describe a method utilizing multi-spectral imaging flow cytometry to quantify the internalization of polyanhydride nanoparticles or bacteria by RAW 264.7 cells.
10:26
Using In Vitro Live-cell Imaging to Explore Chemotherapeutics Delivered by Lipid-based Nanoparticles
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Cited by 7 •
2017
Live-cell imaging is a powerful tool to visualize dynamic processes. The examination of fixed cells provides only static pictures, which can lead to misinterpretation and confusion about the process. This work presents a method to study uptake, drug release, and intracellular localization of liposomal nanoparticles in living cells.
FAQs
Each imaging approach emphasizes a different interaction between the particle and the measurement system. Electron scattering can reveal nanoscale structure, light absorption or emission can support visualization or tracking, X-ray interactions can provide structural information, and probe-surface forces can characterize surface-related features. Consequently, the selected contrast mechanism determines which particle properties are most accessible.
Imaging can provide information about particle size, shape, spatial distribution, composition, and interactions. These measurements help distinguish well-dispersed particles from aggregated populations and connect structural differences with material behavior. Examining several properties together is especially useful when evaluating whether a fabrication method produced the intended nanoscale structure rather than relying on size alone.
Aggregation changes the observed distribution and can obscure the characteristics of individual particles. Imaging helps identify whether particles remain separated or form larger assemblies, giving researchers a way to evaluate material uniformity and fabrication quality. In engineering studies, recognizing aggregation is important because particle structure is analyzed in relation to the performance of catalysts, sensors, energy materials, and nanocomposites.
Method selection should follow the property and interaction of interest. Electron-based imaging emphasizes scattering, light-based approaches use absorption or emission, X-ray methods rely on X-ray interactions, and probe-based techniques examine forces at a surface. Comparing these options helps researchers match the available contrast mechanism to questions about structure, composition, distribution, or particle interactions.
A practical workflow begins by identifying the structural or performance question, then selecting an imaging approach whose contrast mechanism can address it. Researchers acquire images or measurements, examine particle characteristics such as size, shape, distribution, composition, or interactions, and compare the results with fabrication objectives. The findings can then guide material optimization and quality control.
Engineering applications include the design and quality control of catalysts, sensors, drug-delivery systems, energy materials, and nanocomposites. Imaging supports these efforts by showing how particle structure relates to performance and by revealing fabrication issues such as aggregation. This connection allows researchers to evaluate material designs, compare production outcomes, and optimize nanoscale systems for technological use.