ArticleBiophysical journal2016
Resolving Fast, Confined Diffusion in Bacteria with Image Correlation Spectroscopy.
Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging.Chemical & biomedical imaging · 2024Article
- PvdL Orchestrates the Assembly of the Nonribosomal Peptide Synthetases Involved in Pyoverdine Biosynthesis inInternational journal of molecular sciences · 2024Article
- Simulation-based Reconstructed Diffusion unveils the effect of aging on protein diffusion in Escherichia coli.PLoS computational biology · 2023Article
- Computerized fluorescence microscopy of microbial cells.World journal of microbiology & biotechnology · 2021Review
- Dynamic Exchange of Two Essential DNA Polymerases during Replication and after Fork Arrest.Biophysical journal · 2019Article
- Adaptive optics microspectrometer for cross-correlation measurement of microfluidic flows.Journal of biomedical optics · 2019Article
- Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.Chemical reviews · 2017Article
- Biologists Wanted: New Fluorescence Fluctuation Tools for Cell Biology.Biophysical journal · 2016Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
By following single fluorescent molecules in a microscope, single-particle tracking (SPT) can measure diffusion and binding on the nanometer and millisecond scales. Still, although SPT can at its limits characterize the fastest biomolecules as they interact with subcellular environments, this measurement may require advanced illumination techniques such as stroboscopic illumination. Here, we address the challenge of measuring fast subcellular motion by instead analyzing single-molecule data with spatiotemporal image correlation spectroscopy (STICS) with a focus on measurements of confined motion. Our SPT and STICS analysis of simulations of the fast diffusion of confined molecules shows that image blur affects both STICS and SPT, and we find biased diffusion rate measurements for STICS analysis in the limits of fast diffusion and tight confinement due to fitting STICS correlation functions to a Gaussian approximation. However, we determine that with STICS, it is possible to correctly interpret the motion that blurs single-molecule images without advanced illumination techniques or fast cameras. In particular, we present a method to overcome the bias due to image blur by properly estimating the width of the correlation function by directly calculating the correlation function variance instead of using the typical Gaussian fitting procedure. Our simulation results are validated by applying the STICS method to experimental measurements of fast, confined motion: we measure the diffusion of cytosolic mMaple3 in living Escherichia coli cells at 25 frames/s under continuous illumination to illustrate the utility of STICS in an experimental parameter regime for which in-frame motion prevents SPT and tight confinement of fast diffusion precludes stroboscopic illumination. Overall, our application of STICS to freely diffusing cytosolic protein in small cells extends the utility of single-molecule experiments to the regime of fast confined diffusion without requiring advanced microscopy techniques.
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