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

Journal of Controlled Release

Volumn 220, Issue , 2015, Pages 37-43

  Wang, Ying Ying ^a   Nunn, Kenetta L ^b   Harit, Dimple ^c   McKinley, Scott A ^d   Lai, Samuel K ^b,c,e  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Biomedical Research Imaging Center   (United States)

^c UNC Hamner Institute for Drug Safety Sciences   (United States)

^d UNIVERSITY OF FLORIDA   (United States)

^e UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Diffusion; Mucus; Multiple particle tracking; Single particle tracking; Transport

Indexed keywords

BODY FLUIDS; DIFFUSION; NANOPARTICLES; SCALES (WEIGHING INSTRUMENTS); VIRUSES;

BIOLOGICAL ENVIRONMENTS; COMPLEX ENVIRONMENTS; COMPUTATIONAL SIMULATION; EXTRACELLULAR MATRICES; MUCUS; MULTIPLE PARTICLE TRACKING; SINGLE PARTICLE TRACKING; TRANSPORT;

DRUG DELIVERY;

NANOPARTICLE; DRUG CARRIER;

ARTICLE; BODY FLUID; CHEMICAL ANALYSIS; HUMAN; MULTIPLE PARTICLE TRACKING; PRIORITY JOURNAL; SINGLE PARTICLE TRACKING; FEMALE; METABOLISM; MUCUS; STATISTICAL BIAS; TRANSPORT AT THE CELLULAR LEVEL;

BIAS (EPIDEMIOLOGY); BIOLOGICAL TRANSPORT; BODY FLUIDS; DRUG CARRIERS; FEMALE; HUMANS; MUCUS; NANOPARTICLES;

EID: 84944748122     PISSN: 01683659     EISSN: 18734995     Source Type: Journal    
DOI: 10.1016/j.jconrel.2015.10.021     Document Type: Article

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