ArticleBiophysical journal2014
Classification of dynamical diffusion states in single molecule tracking microscopy.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Synthesis and Characterization of a Novel Photocleavable Fluorescent Dye Dyad for Diffusion Imaging.Chemical & biomedical imaging · 2025Article
- Extract latent features of single-particle trajectories with historical experience learning.Biophysical journal · 2023Article
- Similarly slow diffusion of BAM and SecYEG complexes in live E. coli cells observed with 3D spt-PALM.Biophysical journal · 2023Article
- Article
- ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks.The Journal of cell biology · 2023Article
- A Brief History of Single-Particle Tracking of the Epidermal Growth Factor Receptor.Methods and protocols · 2019Review
- Imaging, Tracking and Computational Analyses of Virus Entry and Egress with the Cytoskeleton.Viruses · 2018Review
- Limitations of Qdot labelling compared to directly-conjugated probes for single particle tracking of B cell receptor mobility.Scientific reports · 2017Article
- Resolving mixed mechanisms of protein subdiffusion at the T cell plasma membrane.Nature communications · 2017Article
- Segmentation of 3D Trajectories Acquired by TSUNAMI Microscope: An Application to EGFR Trafficking.Biophysical journal · 2016Article
- Single-molecule imaging reveals modulation of cell wall synthesis dynamics in live bacterial cells.Nature communications · 2016Article
- Automatic detection of diffusion modes within biological membranes using back-propagation neural network.BMC bioinformatics · 2016Article
- Quantifying Multistate Cytoplasmic Molecular Diffusion in Bacterial Cells via Inverse Transform of Confined Displacement Distribution.The journal of physical chemistry. B · 2015Article
- Biophysical methods for the characterization of PTEN/lipid bilayer interactions.Methods (San Diego, Calif.) · 2015Review
- Evaluation of fluorophores to label SNAP-tag fused proteins for multicolor single-molecule tracking microscopy in live cells.Biophysical journal · 2014Article
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3 authors.
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Abstract
Single molecule tracking of membrane proteins by fluorescence microscopy is a promising method to investigate dynamic processes in live cells. Translating the trajectories of proteins to biological implications, such as protein interactions, requires the classification of protein motion within the trajectories. Spatial information of protein motion may reveal where the protein interacts with cellular structures, because binding of proteins to such structures often alters their diffusion speed. For dynamic diffusion systems, we provide an analytical framework to determine in which diffusion state a molecule is residing during the course of its trajectory. We compare different methods for the quantification of motion to utilize this framework for the classification of two diffusion states (two populations with different diffusion speed). We found that a gyration quantification method and a Bayesian statistics-based method are the most accurate in diffusion-state classification for realistic experimentally obtained datasets, of which the gyration method is much less computationally demanding. After classification of the diffusion, the lifetime of the states can be determined, and images of the diffusion states can be reconstructed at high resolution. Simulations validate these applications. We apply the classification and its applications to experimental data to demonstrate the potential of this approach to obtain further insights into the dynamics of cell membrane proteins.
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