Review



slimfast.m script  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc slimfast.m script
    Data pipeline for single-molecule tracking with <t>SLIMfast.m</t> (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).
    Slimfast.M Script, 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/slimfast%2Em+script/pmc07757679-126-8-7
    Average 90 stars, based on 1 article reviews
    slimfast.m script - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Two-parameter single-molecule analysis for measurement of chromatin mobility"

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility

    Journal: STAR Protocols

    doi: 10.1016/j.xpro.2020.100223

    Data pipeline for single-molecule tracking with SLIMfast.m (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).
    Figure Legend Snippet: Data pipeline for single-molecule tracking with SLIMfast.m (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).

    Techniques Used: Imaging, Modification, Expressing

    Related Articles

    Modification:

    Article Title: A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
    Article Snippet: This pipeline first uses the MATLAB script SLIMfast.m to localise molecules, which is a modified version of the multiple-target tracing (MTT) algorithm reported by Sergé and colleagues ( ).

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility
    Article Snippet: The tracking step here is using the MATLAB-based SLIMfast.m script , a modified version of MTT , both publicly available.

    MTT Assay:

    Article Title: A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
    Article Snippet: This pipeline first uses the MATLAB script SLIMfast.m to localise molecules, which is a modified version of the multiple-target tracing (MTT) algorithm reported by Sergé and colleagues ( ).

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility
    Article Snippet: The tracking step here is using the MATLAB-based SLIMfast.m script , a modified version of MTT , both publicly available.

    Imaging:

    Article Title: A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
    Article Snippet: This pipeline first uses the MATLAB script SLIMfast.m to localise molecules, which is a modified version of the multiple-target tracing (MTT) algorithm reported by Sergé and colleagues ( ).

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility
    Article Snippet: The tracking step here is using the MATLAB-based SLIMfast.m script , a modified version of MTT , both publicly available.

    Expressing:

    Article Title: A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
    Article Snippet: This pipeline first uses the MATLAB script SLIMfast.m to localise molecules, which is a modified version of the multiple-target tracing (MTT) algorithm reported by Sergé and colleagues ( ).

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility
    Article Snippet: The tracking step here is using the MATLAB-based SLIMfast.m script , a modified version of MTT , both publicly available.



    Similar Products

    matlab script slimfast.m  (MathWorks Inc)
    90
    MathWorks Inc matlab script slimfast.m
    Matlab Script Slimfast.M, 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/slimfast%2Em+script/pmc08565327-132-6-5
    Average 90 stars, based on 1 article reviews
    matlab script slimfast.m - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    slimfast.m script  (MathWorks Inc)
    90
    MathWorks Inc slimfast.m script
    Data pipeline for single-molecule tracking with <t>SLIMfast.m</t> (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).
    Slimfast.M Script, 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/slimfast%2Em+script/pmc07757679-126-8-7
    Average 90 stars, based on 1 article reviews
    slimfast.m script - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Data pipeline for single-molecule tracking with SLIMfast.m (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).

    Journal: STAR Protocols

    Article Title: Two-parameter single-molecule analysis for measurement of chromatin mobility

    doi: 10.1016/j.xpro.2020.100223

    Figure Lengend Snippet: Data pipeline for single-molecule tracking with SLIMfast.m (A) Single-molecule imaging .tif stacks are used as inputs for SLIMfast.m. (B) Screenshots from SLIMfast.m indicating how to load several .tif stacks as a batch to detect molecules in each consecutive frame, as well as the parameters that can be modified by the user depending on the characteristic of the microsope in use (see Notes of the section for details). (C) Screenshot from SLIMfast.m indicating how to load the particle data from the precedent step, for the script to trace single molecule trajectories. An example of the overlay of all detected particles in a nucleus expressing FOXA1-HALO, over the course of 50 s is displayed. (D) Example of trajectories established by the tracking algorithm in a single nucleus over the course of 50 s. A part of the corresponding .csv files is displayed, as provided after conversion by Csv_converter.m. The consecutive columns indicate #1, iteration; #2, frame of detection of the trajectory first step; #3, time = frame × step duration(0.01 s); #4 and #5, x and y coordinates (μm).

    Article Snippet: The tracking step here is using the MATLAB-based SLIMfast.m script , a modified version of MTT , both publicly available.

    Techniques: Imaging, Modification, Expressing