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implementation of the multiple target tracing (mtt) algorithm slimfast  (MathWorks Inc)


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    MathWorks Inc implementation of the multiple target tracing (mtt) algorithm slimfast
    Implementation Of The Multiple Target Tracing (Mtt) Algorithm Slimfast, 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/implementation of the multiple target tracing (mtt) algorithm slimfast/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    implementation of the multiple target tracing (mtt) algorithm slimfast - by Bioz Stars, 2026-03
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    implementation of the multiple target tracing (mtt) algorithm slimfast  (MathWorks Inc)
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    <t>SLIMfast</t> is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.
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    <t>SLIMfast</t> is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.
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    <t>SLIMfast</t> is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.
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    batch parallel-processing version of slimfast  (MathWorks Inc)
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    <t>SLIMfast</t> is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.
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    		  Buy from Supplier

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    SLIMfast is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.

    Journal: Bio-protocol

    Article Title: Single-Particle Tracking of AMPA Receptor-Containing Vesicles

    doi: 10.21769/BioProtoc.5325

    Figure Lengend Snippet: SLIMfast is an in-house MATLAB program based on the multiple-target tracing (MTT) algorithm developed by Serge et al. [20] for single-particle tracking. Arrows , cycle through the frames of the timelapse sequence; PLAY MOV , play the timelapse sequence; OPT , opens a graphical user interface (GUI) with options for acquisition, localization, and tracking parameters; MAX PROJ , creates a figure with a maximum intensity projection of the timelapse sequence; AVE PROJ , creates a figure with an average intensity projection of the timelapse sequence; TEST LOC , locates the particles on the current frame of the timelapse sequence; LOC ALL , performs localization on all particles in the timelapse sequence; GEN TRAJ , performs reconnection to generate trajectories.

    Article Snippet: Use the command run SLIMfast in the MATLAB command window, which will open a graphical user interface (GUI) for SLIMfast , a program that uses a multiple-target tracing (MTT) algorithm to achieve 2D single-molecule localization (x,y) [20].

    Techniques: Single-particle Tracking, Sequencing