ArticleJournal of controlled release : official journal of the Controlled Release Society2015
Minimizing biases associated with tracking analysis of submicron particles in heterogeneous biological fluids.
Article in Journal of controlled release : official journal of the Controlled Release Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Broadly neutralizing antibodies consistently trap HIV-1 in fresh cervicovaginal mucus from select individuals.Acta biomaterialia · 2023Article
- MPTHub: An Open-Source Software for Characterizing the Transport of Particles in Biorelevant Media.Nanomaterials (Basel, Switzerland) · 2022Article
- Antibody-mediated trapping in biological hydrogels is governed by sugar-sugar hydrogen bonds.Acta biomaterialia · 2020Article
- Mucin CYS domain stiffens the mucus gel hindering bacteria and spermatozoa.Scientific reports · 2019Article
- Robust antigen-specific tuning of the nanoscale barrier properties of biogels using matrix-associating IgG and IgM antibodies.Acta biomaterialia · 2019Article
- diff_classifier: Parallelization of multi-particle tracking video analyses.Journal of open source software · 2019Article
- Herpes simplex virus-binding IgG traps HSV in human cervicovaginal mucus across the menstrual cycle and diverse vaginal microbial composition.Mucosal immunology · 2018Article
- ZMapp Reinforces the Airway Mucosal Barrier Against Ebola Virus.The Journal of infectious diseases · 2018Article
- Technological strategies to estimate and control diffusive passage times through the mucus barrier in mucosal drug delivery.Advanced drug delivery reviews · 2018Review
- A blueprint for robust crosslinking of mobile species in biogels with weakly adhesive molecular anchors.Nature communications · 2017Article
- Influenza-binding antibodies immobilise influenza viruses in fresh human airway mucus.The European respiratory journal · 2017Article
- Anti-PEG antibodies alter the mobility and biodistribution of densely PEGylated nanoparticles in mucus.Acta biomaterialia · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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 of particle behavior and a systematic underestimate of the time necessary for a population of nanoparticles to diffuse specific distances. We show here via both computational simulation and experimental data that this bias can be rigorously corrected by weighing the contribution by each particle trace on a 'frame-by-frame' basis. We believe this methodology presents an important step towards objective and accurate assessment of the heterogeneous transport behavior of submicron drug carriers and pathogens in biological environments.
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