ArticlePloS one2017
Classification and Segmentation of Nanoparticle Diffusion Trajectories in Cellular Micro Environments.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- Characterizing cellular receptor dynamics in live fluorescence imaging using stochastic modeling and machine learning.iScience · 2026Article
- Hydrogel-Mediated Delivery of Drug Nanocarriers in the Oedematous Postoperative Brain.Pharmaceutical research · 2026Article
- Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data.Cells · 2026Review
- Exploring how deep learning decodes anomalous diffusion via Grad-CAM.Nature communications · 2026Article
- Bacteriophage-Mimetic DNA Origami Needle for Targeted Membrane Penetration and Cytosolic Cargo Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- Mathematical modelling of hollow microneedle-mediated transdermal drug delivery.Drug delivery and translational research · 2025Article
- Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus.Journal of nanobiotechnology · 2025Article
- A conserved role for centriolar satellites in translation of centrosomal and ciliary proteins.The Journal of cell biology · 2025Article
- Take a (statistical) look at microbial motility: analytical assessment of the early-stage interaction betweenMaterials today. Bio · 2025Article
- Pointwise prediction of protein diffusive properties using machine learning.JPhys photonics · 2025Article
- Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.Nature methods · 2025Article
- Multimodal Imaging of Brain Metastasis-Derived Extracellular Vesicles Using Superparamagnetic Iron Oxide Nanoparticle Labeling.International journal of nanomedicine · 2025Article
- High-fidelity predictions of diffusion in the brain microenvironment.Biophysical journal · 2024Article
- Fluorogenic RNA-based biomaterials for imaging and tracking the cargo of extracellular vesicles.Journal of controlled release : official journal of the Controlled Release Society · 2024Article
- Trajectory Analysis in Single-Particle Tracking: From Mean Squared Displacement to Machine Learning Approaches.International journal of molecular sciences · 2024Review
- Dynamics and spatial organization of Kv1.3 at the immunological synapse of human CD4+ T cells.Biophysical journal · 2024Article
- Disordered C-terminal domain drives spatiotemporal confinement of RNAPII to enhance search for chromatin targets.Nature cell biology · 2024Article
- TrajPy: empowering feature engineering for trajectory analysis across domains.Bioinformatics advances · 2024Article
- Passive diffusion accounts for the majority of intracellular nanovesicle transport.Life science alliance · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Darkfield and confocal laser scanning microscopy both allow for a simultaneous observation of live cells and single nanoparticles. Accordingly, a characterization of nanoparticle uptake and intracellular mobility appears possible within living cells. Single particle tracking allows to measure the size of a diffusing particle close to a cell. However, within the more complex system of a cell's cytoplasm normal, confined or anomalous diffusion together with directed motion may occur. In this work we present a method to automatically classify and segment single trajectories into their respective motion types. Single trajectories were found to contain more than one motion type. We have trained a random forest with 9 different features. The average error over all motion types for synthetic trajectories was 7.2%. The software was successfully applied to trajectories of positive controls for normal- and constrained diffusion. Trajectories captured by nanoparticle tracking analysis served as positive control for normal diffusion. Nanoparticles inserted into a diblock copolymer membrane was used to generate constrained diffusion. Finally we segmented trajectories of diffusing (nano-)particles in V79 cells captured with both darkfield- and confocal laser scanning microscopy. The software called "TraJClassifier" is freely available as ImageJ/Fiji plugin via https://git.io/v6uz2.
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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.