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musij processing time  (MathWorks Inc)


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    Structured Review

    MathWorks Inc musij processing time
    The graphical user interface of <t>MusiJ.</t> (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.
    Musij Processing Time, 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/musij processing time/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    musij processing time - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "MusiJ: an ImageJ plugin for video nanoscopy"

    Article Title: MusiJ: an ImageJ plugin for video nanoscopy

    Journal: Biomedical Optics Express

    doi: 10.1364/BOE.382735

    The graphical user interface of MusiJ. (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.
    Figure Legend Snippet: The graphical user interface of MusiJ. (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.

    Techniques Used: Microscopy

    Comparison of MUSICAL implementations for MATLAB and MusiJ.
    Figure Legend Snippet: Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Techniques Used: Comparison

    Time used for a single reconstruction of an image of size 256×256 pixels, 50 frames, and subpixelation of 10. The results for MATLAB were replicated to make this comparison.
    Figure Legend Snippet: Time used for a single reconstruction of an image of size 256×256 pixels, 50 frames, and subpixelation of 10. The results for MATLAB were replicated to make this comparison.

    Techniques Used: Comparison



    Similar Products

    musij processing time  (MathWorks Inc)
    90
    MathWorks Inc musij processing time
    The graphical user interface of <t>MusiJ.</t> (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.
    Musij Processing Time, 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/musij processing time/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    musij processing time - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The graphical user interface of MusiJ. (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.

    Journal: Biomedical Optics Express

    Article Title: MusiJ: an ImageJ plugin for video nanoscopy

    doi: 10.1364/BOE.382735

    Figure Lengend Snippet: The graphical user interface of MusiJ. (a) The plugin can be found in the regular ’Plugins’ tab or directly launched via the optional quick-access button. (b) Using the raw data and microscope parameters as input, singular values can be computed that allow the user to find suitable thresholds for signal/noise classification. The blue region in the image above shows a region in which a suitable threshold is likely to lie. Note that each color channel has its own threshold. (c) With the determined thresholds, a nanoscopy image or a time-series can be computed from the raw data temporal stack. Here, mitochondria (orange) and microtubules (blue) are shown.

    Article Snippet: A summary of the improvements upon the MATLAB version and new capabilities only available in MusiJ is provided in . table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 MATLAB MusiJ processing time 417.25 s 14.75 s graphical user interface ( ✓ ) ✓ multi-color capability ✗ ✓ video capability ✗ ✓ interleaved reconstruction ✗ ✓ Open in a separate window caption a8 Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Techniques: Microscopy

    Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Journal: Biomedical Optics Express

    Article Title: MusiJ: an ImageJ plugin for video nanoscopy

    doi: 10.1364/BOE.382735

    Figure Lengend Snippet: Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Article Snippet: A summary of the improvements upon the MATLAB version and new capabilities only available in MusiJ is provided in . table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 MATLAB MusiJ processing time 417.25 s 14.75 s graphical user interface ( ✓ ) ✓ multi-color capability ✗ ✓ video capability ✗ ✓ interleaved reconstruction ✗ ✓ Open in a separate window caption a8 Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Techniques: Comparison

    Time used for a single reconstruction of an image of size 256×256 pixels, 50 frames, and subpixelation of 10. The results for MATLAB were replicated to make this comparison.

    Journal: Biomedical Optics Express

    Article Title: MusiJ: an ImageJ plugin for video nanoscopy

    doi: 10.1364/BOE.382735

    Figure Lengend Snippet: Time used for a single reconstruction of an image of size 256×256 pixels, 50 frames, and subpixelation of 10. The results for MATLAB were replicated to make this comparison.

    Article Snippet: A summary of the improvements upon the MATLAB version and new capabilities only available in MusiJ is provided in . table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 MATLAB MusiJ processing time 417.25 s 14.75 s graphical user interface ( ✓ ) ✓ multi-color capability ✗ ✓ video capability ✗ ✓ interleaved reconstruction ✗ ✓ Open in a separate window caption a8 Comparison of MUSICAL implementations for MATLAB and MusiJ.

    Techniques: Comparison