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msd analysis and calculation of the short-term diffusion coefficient d  (MathWorks Inc)


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    MathWorks Inc msd analysis and calculation of the short-term diffusion coefficient d
    Diffusivity distributions determined starting from exact tracks. Tracks simulated using <t>different</t> <t>diffusion</t> coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the <t>MSD</t> function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case
    Msd Analysis And Calculation Of The Short Term Diffusion Coefficient D, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/msd analysis and calculation of the short-term diffusion coefficient d/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msd analysis and calculation of the short-term diffusion coefficient d - by Bioz Stars, 2026-06
    90/100 stars

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    1) Product Images from "Impact of temporal resolution in single particle tracking analysis"

    Article Title: Impact of temporal resolution in single particle tracking analysis

    Journal: Discover Nano

    doi: 10.1186/s11671-024-04029-1

    Diffusivity distributions determined starting from exact tracks. Tracks simulated using different diffusion coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the MSD function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case
    Figure Legend Snippet: Diffusivity distributions determined starting from exact tracks. Tracks simulated using different diffusion coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the MSD function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case

    Techniques Used: Diffusion-based Assay, Sampling

    Single particle tracking experiment on p75 NTR receptors fluorescently labelled on the membrane of living SK-N-BE(2) neuroblastoma cells and comparison with simulated results. A Experimental images from the movies recorded by TIRF microscopy; on each image we report the integration time; frame time was 25 ms longer due to readout time. Images are shown in the same fixed grayscale; scale bar: 5 μm. B Corresponding measured diffusivity distributions. Mean particle density was 0.3 µm −2 . Data were obtained from 2180 to 3050 tracks for each case. C Diffusivity distribution derived from detection, tracking, and MSD analysis on simulated movies with integration, frame times as written in the legend. Particle density was 0.3 µm −2 , D S was 0.75 μm 2 /s (equal to D P for all curves but the red one for which it is 0.8 μm 2 /s). 385 tracks from 5 different simulations were used for each case. In both B and C 130-frames movies were analysed for each temporal resolution. We calculated the uncertainties in the distributions for both the experimental and simulation cases; some examples are reported in Fig.
    Figure Legend Snippet: Single particle tracking experiment on p75 NTR receptors fluorescently labelled on the membrane of living SK-N-BE(2) neuroblastoma cells and comparison with simulated results. A Experimental images from the movies recorded by TIRF microscopy; on each image we report the integration time; frame time was 25 ms longer due to readout time. Images are shown in the same fixed grayscale; scale bar: 5 μm. B Corresponding measured diffusivity distributions. Mean particle density was 0.3 µm −2 . Data were obtained from 2180 to 3050 tracks for each case. C Diffusivity distribution derived from detection, tracking, and MSD analysis on simulated movies with integration, frame times as written in the legend. Particle density was 0.3 µm −2 , D S was 0.75 μm 2 /s (equal to D P for all curves but the red one for which it is 0.8 μm 2 /s). 385 tracks from 5 different simulations were used for each case. In both B and C 130-frames movies were analysed for each temporal resolution. We calculated the uncertainties in the distributions for both the experimental and simulation cases; some examples are reported in Fig.

    Techniques Used: Single-particle Tracking, Membrane, Comparison, Microscopy, Derivative Assay



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    msd analysis and calculation of the short-term diffusion coefficient d  (MathWorks Inc)
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    MathWorks Inc msd analysis and calculation of the short-term diffusion coefficient d
    Diffusivity distributions determined starting from exact tracks. Tracks simulated using <t>different</t> <t>diffusion</t> coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the <t>MSD</t> function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case
    Msd Analysis And Calculation Of The Short Term Diffusion Coefficient D, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/msd analysis and calculation of the short-term diffusion coefficient d/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msd analysis and calculation of the short-term diffusion coefficient d - by Bioz Stars, 2026-06
    90/100 stars
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    Diffusivity distributions determined starting from exact tracks. Tracks simulated using different diffusion coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the MSD function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case

    Journal: Discover Nano

    Article Title: Impact of temporal resolution in single particle tracking analysis

    doi: 10.1186/s11671-024-04029-1

    Figure Lengend Snippet: Diffusivity distributions determined starting from exact tracks. Tracks simulated using different diffusion coefficients D S (as reported at the top of each graph) and time steps Δt (as reported in the legends) were analysed to extract the reported diffusivity (D) distributions as calculated from the first two points of the MSD function. Simulations were performed on a square area of 256 μm 2 with reflective boundaries at a density of 0.3 particles/μm 2 . The different temporal resolutions were obtained by appropriate sampling on the same simulated tracks, stopping at 500 time steps in each case. 385 tracks from 5 different simulations were analysed for each case

    Article Snippet: MSD analysis and calculation of the short-term diffusion coefficient D were performed in MATLAB as previously described [ , , , ].

    Techniques: Diffusion-based Assay, Sampling

    Single particle tracking experiment on p75 NTR receptors fluorescently labelled on the membrane of living SK-N-BE(2) neuroblastoma cells and comparison with simulated results. A Experimental images from the movies recorded by TIRF microscopy; on each image we report the integration time; frame time was 25 ms longer due to readout time. Images are shown in the same fixed grayscale; scale bar: 5 μm. B Corresponding measured diffusivity distributions. Mean particle density was 0.3 µm −2 . Data were obtained from 2180 to 3050 tracks for each case. C Diffusivity distribution derived from detection, tracking, and MSD analysis on simulated movies with integration, frame times as written in the legend. Particle density was 0.3 µm −2 , D S was 0.75 μm 2 /s (equal to D P for all curves but the red one for which it is 0.8 μm 2 /s). 385 tracks from 5 different simulations were used for each case. In both B and C 130-frames movies were analysed for each temporal resolution. We calculated the uncertainties in the distributions for both the experimental and simulation cases; some examples are reported in Fig.

    Journal: Discover Nano

    Article Title: Impact of temporal resolution in single particle tracking analysis

    doi: 10.1186/s11671-024-04029-1

    Figure Lengend Snippet: Single particle tracking experiment on p75 NTR receptors fluorescently labelled on the membrane of living SK-N-BE(2) neuroblastoma cells and comparison with simulated results. A Experimental images from the movies recorded by TIRF microscopy; on each image we report the integration time; frame time was 25 ms longer due to readout time. Images are shown in the same fixed grayscale; scale bar: 5 μm. B Corresponding measured diffusivity distributions. Mean particle density was 0.3 µm −2 . Data were obtained from 2180 to 3050 tracks for each case. C Diffusivity distribution derived from detection, tracking, and MSD analysis on simulated movies with integration, frame times as written in the legend. Particle density was 0.3 µm −2 , D S was 0.75 μm 2 /s (equal to D P for all curves but the red one for which it is 0.8 μm 2 /s). 385 tracks from 5 different simulations were used for each case. In both B and C 130-frames movies were analysed for each temporal resolution. We calculated the uncertainties in the distributions for both the experimental and simulation cases; some examples are reported in Fig.

    Article Snippet: MSD analysis and calculation of the short-term diffusion coefficient D were performed in MATLAB as previously described [ , , , ].

    Techniques: Single-particle Tracking, Membrane, Comparison, Microscopy, Derivative Assay