Using DLS for Nanoparticles? See What NTA Adds.
Dynamic Light Scattering provides fast ensemble-based size information. Nanoparticle Tracking Analysis adds a particle-by-particle view with visual tracking, size distribution and concentration insight.
For heterogeneous nanoparticle samples, average values alone may not explain the full particle population. NTA helps researchers observe individual particles in motion and better understand complex sample distributions.
DLS is useful — But heterogeneous samples often need more context
Dynamic Light Scattering is a widely used method for particle size analysis. It can provide fast and valuable information about a particle ensemble. However, when samples are heterogeneous, polydisperse or contain multiple particle populations, ensemble-based averages can be difficult to interpret on their own. That is why many nanoparticle workflows benefit from complementary methods that add more detail about the individual particles inside the sample.
DLS helps answer:
“What is the average behavior of the particle ensemble?”
NTA can add:
“How are individual particles distributed by size, concentration and motion?”
What Nanoparticle Tracking Analysis adds
Nanoparticle Tracking Analysis visualizes individual particles in suspension and tracks their Brownian motion in video. This particle-by-particle approach can add information that is especially useful when working with complex or heterogeneous nanoparticle samples.
NTA can add insight into:
- Individual particle movement
- Particle size distribution
- Particle concentration
- Heterogeneous sample composition
- Subpopulations, depending on system configuration
- Fluorescence-based analysis, depending on system configuration
- Zeta potential workflows, depending on system configuration
DLS and NTA are not the same type of measurement. DLS provides ensemble-based size information. NTA tracks individual particles and can provide a more visual, distribution-oriented view of the sample.
DLS vs. NTA: A balanced method comparison
| Topic | Dynamic Light Scattering | Nanoparticle Tracking Analysis |
|---|---|---|
| Measurement principle | Ensemble-based light scattering Brownian motion analysis | Video-based Brownian motion tracking of individual particles |
| Main strength | Fast overview of average particle behavior | Particle-by-particle size distribution and concentration determination |
| Typical output | Average size, distribution indicators, polydispersity-related information | Size distribution, concentration and visual particle movement |
| Sample fit | Often useful for relatively uniform particle populations | Particularly useful for heterogeneous or mixed particle samples |
| Particle visualization | No direct visualization of individual particles | Real-time visualization of particles in motion |
| Concentration insight | Not the primary strength of standard DLS workflows | Provides accurate particle concentration information |
| Interpretation risk | Larger or brighter-scattering particles can influence ensemble output | Requires suitable sample preparation and concentration range |
| Best use case | Fast screening and ensemble-based size overview, especially for particles below 10 nm | Deeper characterization of particle distributions and complex samples |
ZetaView®: Video-Based NTA for advanced Nanoparticle Characterization
Particle Metrix ZetaView® systems are designed for nanoparticle tracking workflows where visual analysis, size distribution and concentration information matter. ZetaView® workflows can include particle size, concentration, zeta potential,
fluorescence detection based subpopulation analysis and colocalization.
Particle-by-Particle Tracking
Observe individual particles in motion and analyze size distribution based on tracked Brownian movement.
Size Distribution and Concentration
Add concentration information to support a more complete view of the particle population.
Zeta Potential Options
Use zeta potential workflows to support research questions related to surface charge and colloidal behavior.
Fluorescence Options
Analyze fluorescently labeled particles and explore specific particle subsets when the application and configuration are suitable.
Subpopulation and Colocalization Workflows
Support advanced analysis of complex nanoparticle samples, including workflows where multiple particle subsets are relevant.
Supported by current Nanoparticle and EV research
Nanoparticle and extracellular vesicle research often requires more than one analytical method. Complementary characterization can help researchers connect physical particle properties, sample complexity and application-specific questions.
Selected Publications
Current nanoparticle and EV research supports the use of complementary characterization methods when sample complexity matters. DLS can provide fast ensemble-based size information, while NTA can add particle-by-particle tracking, size distribution and concentration data.
Where NTA can add value to DLS-based workflows
Extracellular Vesicles
EV samples are often heterogeneous. NTA can support workflows that require size distribution and concentration information. Additionally it can deliver information about subpopulations or sample purity by the use of F-NTA.
Viruses and Virus-Like Particles
NTA can add particle-level characterization for viral and virus-like particle populations. It can deliver concentration information within minutes and can quantify nucleic
acid filling.
Liposomes and Lipid Nanoparticles
For formulation research, NTA can support size distribution and concentration analysis alongside with zeta potential based stability analysis and fluorescence analysis.
Heterogeneous Nanoparticle Samples
When a sample contains multiple particle populations, NTA can add visibility beyond a single ensemble-based average.
When should you consider NTA alongside DLS?
Consider adding NTA if:
- Your sample is heterogeneous or polydisperse
- Average size values do not explain the full particle population
- You need particle concentration in addition to size
- You want visual confirmation of particles in motion
- You work with EVs, viruses, liposomes, LNPs, protein aggregates or mixed nanoparticle systems
- You need fluorescence-based subset insight, depending on the application
- You want to compare total particle population with specific labeled subsets
Not sure whether DLS is enough for your sample?
Compare DLS and NTA for your sample
Every nanoparticle sample is different. Let us help you evaluate whether NTA can add useful particle-by-particle insight to your current DLS workflow.
Share yoursample type, application area and current measurement challenge. A Particle Metrix specialist can help you identify the right characterization workflow.
Frequently asked questions
Is NTA better than DLS?
Not universally. DLS and NTA answer different questions. DLS provides ensemble-based information, while NTA can add particle-by-particle tracking, size distribution and concentration insight.
Does NTA replace DLS?
No. NTA is best positioned as a complementary method when researchers need additional information about heterogeneous particle populations.
Why is DLS sometimes limited for heterogeneous samples?
Because ensemble-based methods can be influenced by the overall scattering behavior of the sample. In mixed populations, this can make interpretation more challenging.
What does NTA measure?
NTA tracks individual particles in video and can provide size distribution and concentration information. Addtionally, it enables fluorescence, zeta potential, subpopulation and colocalization analysis depending on system configuration.
Which sample types benefit from NTA?
Relevant applications include extracellular vesicles, viruses, virus-like particles, liposomes, lipid nanoparticles, protein aggregates, nanobubbles and other nanoparticle systems.
