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The Malvern NanoSight range of instruments utilizes Nanoparticle Tracking Analysis (NTA) to characterize nanoparticles from 10nm -2000nm* in solution. Each particle is individually but simultaneously analyzed by direct observation and measurement of diffusion events. This particle-by-particle methodology produces high resolution results for particle size distribution and concentration, while visual validation provides users with additional confidence in their data. Both particle size and concentration are measured, while a fluorescence mode provides differentiation of labelled or naturally fluorescing particles.
* sample dependent
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The need to characterize different properties of nanomaterials continues to grow rapidly. Since the commercialization of the technique in 2004, Nanoparticle tracking Analysis (NTA) has become increasingly prevalent in a wide variety of different rese...
During this webinar, we will introduce the Nanoparticle Tracking Analysis (NTA) technique and discuss how it can provide a range of useful characterization information for virus, vaccine and virus-like particle (VLP) applications. More than a simple ...
NTA 3.1 is an exciting new development building on the NTA 3.0 platform that Malvern is offering to all users for free. It significantly improves ease-of-use, flexibility and performance through automation, new features, refinements and optimisations...
The use of nanoparticles as drug delivery vehicles has seen a large amount of research and investment over the last decade as they have the potential for great benefits in the targeting and efficacy of drug treatments. The interest in them is largely...
User manual for the NanoSight NS500 instrument
(Webinar - Recorded)
Virus, Vaccine, and VLP characterization with NTA
(May 7 2015)
NTA is a relatively new addition to the lab but is already bringing value to several areas of research. For example, the ability to visualize particles over time is allowing one research group developing self-assembling proteins to trace the changes in size of their molecules over time to better understand the dynamics of aggregation.
Dr Krystelle Mafina,
Queen Mary University,
Read full details
(Webinar - Live)
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