Unknown

Dataset Information

Minimizing biases associated with tracking analysis of submicron particles in heterogeneous biological fluids.


ABSTRACT: Tracking the dynamic motion of individual nanoparticles or viruses offers quantitative insights into their real-time behavior and fate in different biological environments. Indeed, particle tracking is a powerful tool that has facilitated the development of drug carriers with enhanced penetration of mucus, brain tissues and other extracellular matrices. Nevertheless, heterogeneity is a hallmark of nanoparticle diffusion in such complex environments: identical particles can exhibit strongly hindered or unobstructed diffusion within microns of each other. The common practice in 2D particle tracking, namely analyzing all trackable particle traces with equal weighting, naturally biases towards rapidly diffusing sub-populations at shorter time scales. This in turn results in misrepresentation o

SUBMITTER: Wang YY 

PROVIDER: S-EPMC4688199 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature