matlab graphic capabilities Search Results


matlab's powerful graphic capabilities  (MathWorks Inc)
90
MathWorks Inc matlab's powerful graphic capabilities
Matlab's Powerful Graphic Capabilities, 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
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matlab graphic capabilities  (MathWorks Inc)
90
MathWorks Inc matlab graphic capabilities
Matlab Graphic Capabilities, 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
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matlab graphic capabilities - by Bioz Stars, 2026-03
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computational mathworks matlab tm capabilities  (MathWorks Inc)
96
MathWorks Inc computational mathworks matlab tm capabilities
Computational Mathworks Matlab Tm Capabilities, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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computational mathworks matlab tm capabilities - by Bioz Stars, 2026-03
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matlab 2017  (MathWorks Inc)
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MathWorks Inc matlab 2017
Matlab 2017, 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/matlab 2017/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab 2017 - by Bioz Stars, 2026-03
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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
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matlab simulation software  (MathWorks Inc)
90
MathWorks Inc matlab simulation software
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.
Matlab Simulation Software, 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/matlab simulation software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab simulation software - by Bioz Stars, 2026-03
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graphical user interface (gui)  (MathWorks Inc)
90
MathWorks Inc graphical user interface (gui)
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.
Graphical User Interface (Gui), 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/graphical user interface (gui)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
graphical user interface (gui) - by Bioz Stars, 2026-03
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graphical “data cursor” capability  (MathWorks Inc)
90
MathWorks Inc graphical “data cursor” capability
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.
Graphical “Data Cursor” Capability, 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/graphical “data cursor” capability/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
graphical “data cursor” capability - by Bioz Stars, 2026-03
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matlab 2016  (MathWorks Inc)
90
MathWorks Inc matlab 2016
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.
Matlab 2016, 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/matlab 2016/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab 2016 - by Bioz Stars, 2026-03
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matlab 2022b  (MathWorks Inc)
90
MathWorks Inc matlab 2022b
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.
Matlab 2022b, 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/matlab 2022b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab 2022b - by Bioz Stars, 2026-03
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matlab software  (MathWorks Inc)
90
MathWorks Inc matlab software
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.
Matlab Software, 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/matlab software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab software - by Bioz Stars, 2026-03
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transform demo  (MathWorks Inc)
90
MathWorks Inc transform demo
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.
Transform Demo, 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/transform demo/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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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