ArticleNature communications2019
A stochastic view on surface inhomogeneity of nanoparticles.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed.
- From bench to bedside: Overcoming translational hurdles in nanoparticle research with pharmacokinetic modeling.Bioengineering & translational medicine · 2026Review
- Point-Spread Function Deformations Unlock 3D Localization Microscopy on Spherical Nanoparticles.ACS nano · 2024Article
- Nanotherapeutic Heterogeneity: Sources, Effects, and Solutions.Small (Weinheim an der Bergstrasse, Germany) · 2024Review
- Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles.The journal of physical chemistry. B · 2023Article
- Multicolor Super-Resolution Microscopy of Protein Corona on Single Nanoparticles.ACS applied materials & interfaces · 2022Article
- A Single-Molecule View at Nanoparticle Targeting Selectivity: Correlating Ligand Functionality and Cell Receptor Density.ACS nano · 2022Article
- Quantifying the effect of PEG architecture on nanoparticle ligand availability using DNA-PAINT.Nanoscale advances · 2021Article
- Correlating Super-Resolution Microscopy and Transmission Electron Microscopy Reveals Multiparametric Heterogeneity in Nanoparticles.Nano letters · 2021Article
- Advanced Static and Dynamic Fluorescence Microscopy Techniques to Investigate Drug Delivery Systems.Pharmaceutics · 2021Review
- Nano-targeting lessons from the SARS-CoV-2.Nano today · 2021Article
- PAINT-ing Fluorenylmethoxycarbonyl (Fmoc)-Diphenylalanine Hydrogels.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020Article
- Quantification of trans-synaptic protein alignment: A data analysis case for single-molecule localization microscopy.Methods (San Diego, Calif.) · 2020Article
- Super-resolution Microscopy for Nanomedicine Research.ACS nano · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interactions between and with nanostructures can only be fully understood when the functional group distribution on their surfaces can be quantified accurately. Here we apply a combination of direct stochastic optical reconstruction microscopy (dSTORM) imaging and probabilistic modelling to analyse molecular distributions on spherical nanoparticles. The properties of individual fluorophores are assessed and incorporated into a model for the dSTORM imaging process. Using this tailored model, overcounting artefacts are greatly reduced and the locations of dye labels can be accurately estimated, revealing their spatial distribution. We show that standard chemical protocols for dye attachment lead to inhomogeneous functionalization in the case of ubiquitous polystyrene nanoparticles. Moreover, we demonstrate that stochastic fluctuations result in large variability of the local group density between particles. These results cast doubt on the uniform surface coverage commonly assumed in the creation of amorphous functional nanoparticles and expose a striking difference between the average population and individual nanoparticle coverage.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.