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pivlab package  (MathWorks Inc)


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    Structured Review

    MathWorks Inc pivlab package
    Pivlab Package, 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/product/pivlab+package/10__1091_slash_mbc__e24___12___0580-211-22-25
    Average 90 stars, based on 1 article reviews
    pivlab package - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Bilateral cellular flows display asymmetry prior to left-right organizer formation in amniote gastrulation.
    Article Snippet: The data was analyzed using the open- source PIVlab package in MATLAB: https://www.mathworks.com/matlabcentral/fileexchange/27659pivlab- particle- image- velocimetry- piv- tool- with- gui (69); https://pivlab.blogspot.com/ (70).

    Article Title: Coupling and uncoupling of midline morphogenesis and cell flow in amniote gastrulation
    Article Snippet: PIV analysis technique [PIVlab package in MATLAB ( )], which is a common technique for mapping displacement of particles (e.g. tagged cells) over a short time interval measured from a series of consecutive images to obtain the velocity vector field is employed to quantify the cell flows in the experimental time-lapse datasets.

    Article Title: History of hypoxia exposure aids future cell invasion according to cell type and collagen density
    Article Snippet: In cancer progression, tumor microenvironments progressively become denser and hypoxic, and cell migrate toward higher oxygen levels as they invade across the tumor-stromal boundary.. While cell invasion dependence on optimal collagen density is well appreciated, it remains unclear whether past oxygen conditions alter future invasion phenotype of cells.. Here, we show that normal human mammary epithelial cells (MCF10A) and leader-like human breast tumor

    Analysis:

    Article Title: Reciprocal intra- and extra-cellular polarity enables deep mechanosensing through layered matrices
    Article Snippet: .. Particle image velocimetry (PIV) analysis was performed to calculate spatiotemporal deformation fields in the collagen through PIVlab package in MATLAB., PIV was run for four passes of 125-, 75-, 50-, and 25-pixel windows to obtain the velocity field between frames. .. Cell migration assays were conducted on a Zeiss AxioObserver equipped with an incubation chamber, which was maintained at 37°C and 5% CO 2 throughout testing (Carl Zeiss Microscopy, Germany).

    Imaging:

    Article Title: E-cadherin biomaterials reprogram collective cell migration and cell cycling by forcing homeostatic conditions.
    Article Snippet: .. We used particle-image-velocimetry (PIV) to generate velocity vector fields for timelapse analyses using 4X phase contrast imaging and the PIVLab package for MATLAB.72 We used 2-pass FFT analysis using a box 1 size of 64 pixels and box 2 size of 32 pixels with 50 % overlap. ..



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    MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) <t>A</t> <t>screenshot</t> showing the GUI of the <t>PIVLab</t> Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).
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    MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) <t>A</t> <t>screenshot</t> showing the GUI of the <t>PIVLab</t> Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).
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    CBF, CCP Analysis and Results (A) Snapshot showing the contents of the “info.xlsx” Microsoft Excel file. (B) Screenshot showing the commands and the corresponding input parameters to input into <t>MATLAB</t> when running the CBF, CCP analysis code. (C) A representative result of CBF, CCP analysis for the negative control that uses a blank TWI to determine background. (D) A representative result of CBF, CCP analysis for a TWI containing differentiated primary hSAEpCs. The heat map scales in C and D indicate beating frequency in Hertz. (E) Plot showing a representative CBF histogram obtained from the data in D and processed using GraphPad Prism 9. (F) Table summarizing several representative statistical parameters that can be obtained from analyzed CBF data using Descriptive Statistics tool from GraphPad Prism 9, to further characterize beating behaviors of cilia.
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    MathWorks Inc particle image velocimetry package pivlab
    a PolScope Microimager texture of the in-plane splay and bend for the normal incidence of light; wavelength 535 nm. b Polarizing microscopy of square lattice of +1/−1 defects. c Potential difference measured at the N F cell electrodes; the generated voltage. d Transmitted intensity as a function of time at locations L1’–L4’. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\bf{P}}}$$\end{document} P oscillates with the frequency of the applied field. Incident laser beam makes an angle \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta=$$\end{document} β = 15° with the normal \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{{{\bf{z}}}}$$\end{document} z ^ to the cell. Dashed line corresponds to zero voltage. In ( a – d ), \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d$$\end{document} d = (3.0 ± 0.1) μm; applied voltage from the source U rms = 30 V, 200 kHz sinusoidal waveform; 120 °C. e Particle image <t>velocimetry</t> <t>(PIVlab,</t> Matlab) integrated trajectories of fluorescent spherical flow tracers of the diameter 300 nm in the square lattice of +1/−1 defects; d = (4.8 ± 0.1) μm cell; sinusoidal wave of voltage 4.5 V and frequency f = 200 kHz; 115 °C. f the same cell, in-plane velocity field of the tracers.
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    a PolScope Microimager texture of the in-plane splay and bend for the normal incidence of light; wavelength 535 nm. b Polarizing microscopy of square lattice of +1/−1 defects. c Potential difference measured at the N F cell electrodes; the generated voltage. d Transmitted intensity as a function of time at locations L1’–L4’. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\bf{P}}}$$\end{document} P oscillates with the frequency of the applied field. Incident laser beam makes an angle \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta=$$\end{document} β = 15° with the normal \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{{{\bf{z}}}}$$\end{document} z ^ to the cell. Dashed line corresponds to zero voltage. In ( a – d ), \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d$$\end{document} d = (3.0 ± 0.1) μm; applied voltage from the source U rms = 30 V, 200 kHz sinusoidal waveform; 120 °C. e Particle image <t>velocimetry</t> <t>(PIVlab,</t> Matlab) integrated trajectories of fluorescent spherical flow tracers of the diameter 300 nm in the square lattice of +1/−1 defects; d = (4.8 ± 0.1) μm cell; sinusoidal wave of voltage 4.5 V and frequency f = 200 kHz; 115 °C. f the same cell, in-plane velocity field of the tracers.
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    Image Search Results


    MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).

    Journal: STAR Protocols

    Article Title: Protocol for characterizing airway epithelial ciliary beating and mucociliary transport using image processing and particle imaging velocimetry

    doi: 10.1016/j.xpro.2025.103674

    Figure Lengend Snippet: MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).

    Article Snippet: The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI.

    Techniques: Plasmid Preparation

    Journal: STAR Protocols

    Article Title: Protocol for characterizing airway epithelial ciliary beating and mucociliary transport using image processing and particle imaging velocimetry

    doi: 10.1016/j.xpro.2025.103674

    Figure Lengend Snippet:

    Article Snippet: The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI.

    Techniques: Recombinant, Software, Microscopy

    CBF, CCP Analysis and Results (A) Snapshot showing the contents of the “info.xlsx” Microsoft Excel file. (B) Screenshot showing the commands and the corresponding input parameters to input into MATLAB when running the CBF, CCP analysis code. (C) A representative result of CBF, CCP analysis for the negative control that uses a blank TWI to determine background. (D) A representative result of CBF, CCP analysis for a TWI containing differentiated primary hSAEpCs. The heat map scales in C and D indicate beating frequency in Hertz. (E) Plot showing a representative CBF histogram obtained from the data in D and processed using GraphPad Prism 9. (F) Table summarizing several representative statistical parameters that can be obtained from analyzed CBF data using Descriptive Statistics tool from GraphPad Prism 9, to further characterize beating behaviors of cilia.

    Journal: STAR Protocols

    Article Title: Protocol for characterizing airway epithelial ciliary beating and mucociliary transport using image processing and particle imaging velocimetry

    doi: 10.1016/j.xpro.2025.103674

    Figure Lengend Snippet: CBF, CCP Analysis and Results (A) Snapshot showing the contents of the “info.xlsx” Microsoft Excel file. (B) Screenshot showing the commands and the corresponding input parameters to input into MATLAB when running the CBF, CCP analysis code. (C) A representative result of CBF, CCP analysis for the negative control that uses a blank TWI to determine background. (D) A representative result of CBF, CCP analysis for a TWI containing differentiated primary hSAEpCs. The heat map scales in C and D indicate beating frequency in Hertz. (E) Plot showing a representative CBF histogram obtained from the data in D and processed using GraphPad Prism 9. (F) Table summarizing several representative statistical parameters that can be obtained from analyzed CBF data using Descriptive Statistics tool from GraphPad Prism 9, to further characterize beating behaviors of cilia.

    Article Snippet: PIVlab v.3.02 MATLAB packages , PIVlab , Link download.

    Techniques: Negative Control

    MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).

    Journal: STAR Protocols

    Article Title: Protocol for characterizing airway epithelial ciliary beating and mucociliary transport using image processing and particle imaging velocimetry

    doi: 10.1016/j.xpro.2025.103674

    Figure Lengend Snippet: MCT Analysis and Results (A) Overall workflow for MCT analysis. (B) Snapshots showing representative original MCT and the corresponding image after stationary particles were removed. The scale bar represents 100 μm. (C) A screenshot showing the GUI of the PIVLab Matlab package after running. (D) Snapshots showing important settings to input into the PIVLab GUI necessary for MCT analysis. (E) Snapshot showing representative results obtained from MCT analysis of differentiated hSAEpCs in a TWI. The velocity vector field is indicated by the arrows while its magnitude is shown by colors with values presented by the color bar. (F) A plot showing the histogram of MCT velocity obtained from the analysis in (E).

    Article Snippet: PIVlab v.3.02 MATLAB packages , PIVlab , Link download.

    Techniques: Plasmid Preparation

    Journal: STAR Protocols

    Article Title: Protocol for characterizing airway epithelial ciliary beating and mucociliary transport using image processing and particle imaging velocimetry

    doi: 10.1016/j.xpro.2025.103674

    Figure Lengend Snippet:

    Article Snippet: PIVlab v.3.02 MATLAB packages , PIVlab , Link download.

    Techniques: Recombinant, Software, Microscopy

    a PolScope Microimager texture of the in-plane splay and bend for the normal incidence of light; wavelength 535 nm. b Polarizing microscopy of square lattice of +1/−1 defects. c Potential difference measured at the N F cell electrodes; the generated voltage. d Transmitted intensity as a function of time at locations L1’–L4’. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\bf{P}}}$$\end{document} P oscillates with the frequency of the applied field. Incident laser beam makes an angle \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta=$$\end{document} β = 15° with the normal \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{{{\bf{z}}}}$$\end{document} z ^ to the cell. Dashed line corresponds to zero voltage. In ( a – d ), \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d$$\end{document} d = (3.0 ± 0.1) μm; applied voltage from the source U rms = 30 V, 200 kHz sinusoidal waveform; 120 °C. e Particle image velocimetry (PIVlab, Matlab) integrated trajectories of fluorescent spherical flow tracers of the diameter 300 nm in the square lattice of +1/−1 defects; d = (4.8 ± 0.1) μm cell; sinusoidal wave of voltage 4.5 V and frequency f = 200 kHz; 115 °C. f the same cell, in-plane velocity field of the tracers.

    Journal: Nature Communications

    Article Title: Periodic splay Fréedericksz transitions in a ferroelectric nematic

    doi: 10.1038/s41467-025-55827-9

    Figure Lengend Snippet: a PolScope Microimager texture of the in-plane splay and bend for the normal incidence of light; wavelength 535 nm. b Polarizing microscopy of square lattice of +1/−1 defects. c Potential difference measured at the N F cell electrodes; the generated voltage. d Transmitted intensity as a function of time at locations L1’–L4’. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\bf{P}}}$$\end{document} P oscillates with the frequency of the applied field. Incident laser beam makes an angle \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta=$$\end{document} β = 15° with the normal \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{{{\bf{z}}}}$$\end{document} z ^ to the cell. Dashed line corresponds to zero voltage. In ( a – d ), \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d$$\end{document} d = (3.0 ± 0.1) μm; applied voltage from the source U rms = 30 V, 200 kHz sinusoidal waveform; 120 °C. e Particle image velocimetry (PIVlab, Matlab) integrated trajectories of fluorescent spherical flow tracers of the diameter 300 nm in the square lattice of +1/−1 defects; d = (4.8 ± 0.1) μm cell; sinusoidal wave of voltage 4.5 V and frequency f = 200 kHz; 115 °C. f the same cell, in-plane velocity field of the tracers.

    Article Snippet: Their trajectories are uncovered by particle image velocimetry package PIVLab in Matlab.

    Techniques: Microscopy, Generated