Abstract：
:Nanoparticle tracking analysis (NTA) obtains particle size by analysis of particle diffusion through a time series of micrographs and particle count by a count of imaged particles. The number of observed particles imaged is controlled by the scattering cross-section of the particles and by camera settings such as sensitivity and shutter speed. Appropriate camera settings are defined as those that image, track, and analyze a sufficient number of particles for statistical repeatability. Here, we test if image attributes, features captured within the image itself, can provide measurable guidelines to assess the accuracy for particle size and count measurements using NTA. The results show that particle sizing is a robust process independent of image attributes for model systems. However, particle count is sensitive to camera settings. Using open-source software analysis, it was found that a median pixel area, 4 pixels2, results in a particle concentration within 20% of the expected value. The distribution of these illuminated pixel areas can also provide clues about the polydispersity of particle solutions prior to using a particle tracking analysis. Using the median pixel area serves as an operator-independent means to assess the quality of the NTA measurement for count.
journal_name
J Pharm Scijournal_title
Journal of pharmaceutical sciencesauthors
Defante AP,Vreeland WN,Benkstein KD,Ripple DCdoi
10.1016/j.xphs.2017.12.016subject
Has Abstractpub_date
2018-05-01 00:00:00pages
1383-1391issue
5eissn
0022-3549issn
1520-6017pii
S0022-3549(17)30886-9journal_volume
107pub_type
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