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msd analyzer plugin  (MathWorks Inc)


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    MathWorks Inc msd analyzer plugin
    Msd Analyzer Plugin, 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 analyzer plugin/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msd analyzer plugin - by Bioz Stars, 2026-03
    90/100 stars

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    MathWorks Inc msd analyzer plugin
    Msd Analyzer Plugin, 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 analyzer plugin/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msd analyzer plugin - by Bioz Stars, 2026-03
    90/100 stars
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    MathWorks Inc msd analyzer matlab plugin
    Soluble (non-MT) tubulin activates processive motility of HSET on single MTs. a Schematic. EGFP-HSET truncations were diluted in P12 buffer and monitored on GMPCPP-stabilized MTs by time-lapse TIRF. b Representative kymographs for time-lapse TIRF images for the indicated constructs at the following concentrations: EGFP-HSET and EGFP-HSETΔMotor, 50 pM. EGFP-HSETΔTail, 250 pM. Distance is on the x -axis (scale bar, 10 µm), and time is on the y -axis (scale bar, 10 s). c Mean-squared displacement <t>(MSD)</t> analysis of particle motion. The reported diffusion constant D is determined from a linear fit over the first 5 s, with the units nm 2 /s: EGFP-HSET: D = 6.3 × 10 4 , n = 206; EGFP-HSETΔMotor: D = 9.4 × 10 4 , n = 197; EGFP-HSETΔTail: D = 0.1 × 10 4 , n = 200. Data are presented as the calculated mean MSD ( y -axis) from two independent experiments over the indicated time intervals ( x -axis) for the indicated n particles ± SEM. d EGFP-HSET in BRB80 + 50 mM KCl was observed in the absence (left) or presence (right) of soluble tubulin and visualized by kymograph ( x -scale bar, distance, 10 µm; y -scale bar, time, 1 min). e Quantification of processive (≥5 s) event frequency as a function of [EGFP-HSET] in the presence (dark green) or absence (light green) of 2 µM tubulin. Data are presented as the number of processive events divided by the total observed MT length multiplied by the observation time for two independent experiments ± SD calculated from N ≥ 10 movies for each condition. Boxes represent first and third quartiles, whiskers represent detection limits, and lines represent median (mean overlaid). f Unlabeled HSET was mixed with 10 nM Cy5-tubulin in BRB80 + 50 mM KCl and observed. Velocities and run lengths of moving Cy5-tubulin particles were determined by kymograph and plotted as histograms. Data are reported as the mean velocity and run length values of n particles from CDF fitting ± the 95% CI from bootstrapping from two independent experiments. g 100 nM Cy5-tubulin (magenta) and 1 nM EGFP-HSET (green) were observed near-simultaneously by high-speed TIRF in BRB80 + 50 mM KCl, and visualized by kymograph ( x -scale bar, distance, 5 µm; y -scale bar, time, 10 s)
    Msd Analyzer Matlab Plugin, 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 analyzer matlab plugin/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msd analyzer matlab plugin - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

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    Soluble (non-MT) tubulin activates processive motility of HSET on single MTs. a Schematic. EGFP-HSET truncations were diluted in P12 buffer and monitored on GMPCPP-stabilized MTs by time-lapse TIRF. b Representative kymographs for time-lapse TIRF images for the indicated constructs at the following concentrations: EGFP-HSET and EGFP-HSETΔMotor, 50 pM. EGFP-HSETΔTail, 250 pM. Distance is on the x -axis (scale bar, 10 µm), and time is on the y -axis (scale bar, 10 s). c Mean-squared displacement (MSD) analysis of particle motion. The reported diffusion constant D is determined from a linear fit over the first 5 s, with the units nm 2 /s: EGFP-HSET: D = 6.3 × 10 4 , n = 206; EGFP-HSETΔMotor: D = 9.4 × 10 4 , n = 197; EGFP-HSETΔTail: D = 0.1 × 10 4 , n = 200. Data are presented as the calculated mean MSD ( y -axis) from two independent experiments over the indicated time intervals ( x -axis) for the indicated n particles ± SEM. d EGFP-HSET in BRB80 + 50 mM KCl was observed in the absence (left) or presence (right) of soluble tubulin and visualized by kymograph ( x -scale bar, distance, 10 µm; y -scale bar, time, 1 min). e Quantification of processive (≥5 s) event frequency as a function of [EGFP-HSET] in the presence (dark green) or absence (light green) of 2 µM tubulin. Data are presented as the number of processive events divided by the total observed MT length multiplied by the observation time for two independent experiments ± SD calculated from N ≥ 10 movies for each condition. Boxes represent first and third quartiles, whiskers represent detection limits, and lines represent median (mean overlaid). f Unlabeled HSET was mixed with 10 nM Cy5-tubulin in BRB80 + 50 mM KCl and observed. Velocities and run lengths of moving Cy5-tubulin particles were determined by kymograph and plotted as histograms. Data are reported as the mean velocity and run length values of n particles from CDF fitting ± the 95% CI from bootstrapping from two independent experiments. g 100 nM Cy5-tubulin (magenta) and 1 nM EGFP-HSET (green) were observed near-simultaneously by high-speed TIRF in BRB80 + 50 mM KCl, and visualized by kymograph ( x -scale bar, distance, 5 µm; y -scale bar, time, 10 s)

    Journal: Nature Communications

    Article Title: Microtubule minus-end aster organization is driven by processive HSET-tubulin clusters

    doi: 10.1038/s41467-018-04991-2

    Figure Lengend Snippet: Soluble (non-MT) tubulin activates processive motility of HSET on single MTs. a Schematic. EGFP-HSET truncations were diluted in P12 buffer and monitored on GMPCPP-stabilized MTs by time-lapse TIRF. b Representative kymographs for time-lapse TIRF images for the indicated constructs at the following concentrations: EGFP-HSET and EGFP-HSETΔMotor, 50 pM. EGFP-HSETΔTail, 250 pM. Distance is on the x -axis (scale bar, 10 µm), and time is on the y -axis (scale bar, 10 s). c Mean-squared displacement (MSD) analysis of particle motion. The reported diffusion constant D is determined from a linear fit over the first 5 s, with the units nm 2 /s: EGFP-HSET: D = 6.3 × 10 4 , n = 206; EGFP-HSETΔMotor: D = 9.4 × 10 4 , n = 197; EGFP-HSETΔTail: D = 0.1 × 10 4 , n = 200. Data are presented as the calculated mean MSD ( y -axis) from two independent experiments over the indicated time intervals ( x -axis) for the indicated n particles ± SEM. d EGFP-HSET in BRB80 + 50 mM KCl was observed in the absence (left) or presence (right) of soluble tubulin and visualized by kymograph ( x -scale bar, distance, 10 µm; y -scale bar, time, 1 min). e Quantification of processive (≥5 s) event frequency as a function of [EGFP-HSET] in the presence (dark green) or absence (light green) of 2 µM tubulin. Data are presented as the number of processive events divided by the total observed MT length multiplied by the observation time for two independent experiments ± SD calculated from N ≥ 10 movies for each condition. Boxes represent first and third quartiles, whiskers represent detection limits, and lines represent median (mean overlaid). f Unlabeled HSET was mixed with 10 nM Cy5-tubulin in BRB80 + 50 mM KCl and observed. Velocities and run lengths of moving Cy5-tubulin particles were determined by kymograph and plotted as histograms. Data are reported as the mean velocity and run length values of n particles from CDF fitting ± the 95% CI from bootstrapping from two independent experiments. g 100 nM Cy5-tubulin (magenta) and 1 nM EGFP-HSET (green) were observed near-simultaneously by high-speed TIRF in BRB80 + 50 mM KCl, and visualized by kymograph ( x -scale bar, distance, 5 µm; y -scale bar, time, 10 s)

    Article Snippet: Diffusion coefficients were calculated using the MSD analyzer MATLAB plugin , where the first 5 s were used for MSD analysis.

    Techniques: Construct, Diffusion-based Assay