3d plot generated using matlab-mathworks 2016 Search Results


3d reconstruction method  (MathWorks Inc)
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MathWorks Inc 3d reconstruction method
3d Reconstruction Method, 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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custom software  (MathWorks Inc)
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Custom 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
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matlab 2016 script  (MathWorks Inc)
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MathWorks Inc matlab 2016 script
Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
Matlab 2016 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
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4d motion dictionary  (MathWorks Inc)
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Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
4d Motion Dictionary, 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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r2019a  (MathWorks Inc)
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Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
R2019a, 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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fish tracker matlab 2013  (MathWorks Inc)
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Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
Fish Tracker Matlab 2013, 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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3d-asl images  (MathWorks Inc)
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MathWorks Inc 3d-asl images
Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
3d Asl Images, 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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custom-built matlab application  (MathWorks Inc)
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Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
Custom Built Matlab Application, 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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bilateral filter  (MathWorks Inc)
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MathWorks Inc bilateral filter
Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.
Bilateral Filter, 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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llsmtools  (MathWorks Inc)
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MathWorks Inc llsmtools
4D image analysis and particle tracking in pyLattice. (A) pyLattice is a library of Python modules, Jupyter notebooks, and Matlab routines that operate together to form an image analysis pipeline. The pipeline steps are as follows (left to right): input of a two-channel 4D AO-LLSM data set (Cltr magenta, Dnm2 green), detection of diffraction-limited puncta, tracking puncta over time, matching each channel’s tracks to one another, processing and filtering the resulting set of tracks, and finally visualizing the data. (B) Implementation diagram of pyLattice. Python-based functionality is implemented for data pre- and postprocessing, filtering, quality control, plotting, and tracking. A Matlab wrapper has been created to incorporate <t>llsmtools</t> ( Aguet et al. , 2016 ) into the pipeline. 4D visualization is done using ChimeraX, for which pyLattice provides customized visualization input.
Llsmtools, 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 2013a  (MathWorks Inc)
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MathWorks Inc matlab 2013a
4D image analysis and particle tracking in pyLattice. (A) pyLattice is a library of Python modules, Jupyter notebooks, and Matlab routines that operate together to form an image analysis pipeline. The pipeline steps are as follows (left to right): input of a two-channel 4D AO-LLSM data set (Cltr magenta, Dnm2 green), detection of diffraction-limited puncta, tracking puncta over time, matching each channel’s tracks to one another, processing and filtering the resulting set of tracks, and finally visualizing the data. (B) Implementation diagram of pyLattice. Python-based functionality is implemented for data pre- and postprocessing, filtering, quality control, plotting, and tracking. A Matlab wrapper has been created to incorporate <t>llsmtools</t> ( Aguet et al. , 2016 ) into the pipeline. 4D visualization is done using ChimeraX, for which pyLattice provides customized visualization input.
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implementations of llsm volume deskewing  (MathWorks Inc)
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MathWorks Inc implementations of llsm volume deskewing
4D image analysis and particle tracking in pyLattice. (A) pyLattice is a library of Python modules, Jupyter notebooks, and Matlab routines that operate together to form an image analysis pipeline. The pipeline steps are as follows (left to right): input of a two-channel 4D AO-LLSM data set (Cltr magenta, Dnm2 green), detection of diffraction-limited puncta, tracking puncta over time, matching each channel’s tracks to one another, processing and filtering the resulting set of tracks, and finally visualizing the data. (B) Implementation diagram of pyLattice. Python-based functionality is implemented for data pre- and postprocessing, filtering, quality control, plotting, and tracking. A Matlab wrapper has been created to incorporate <t>llsmtools</t> ( Aguet et al. , 2016 ) into the pipeline. 4D visualization is done using ChimeraX, for which pyLattice provides customized visualization input.
Implementations Of Llsm Volume Deskewing, 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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Image Search Results


Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.

Journal: Gels

Article Title: Three-Dimensional Dosimetry by Optical-CT and Radiochromic Gel Dosimeter of a Multiple Isocenter Craniospinal Radiation Therapy Procedure

doi: 10.3390/gels8090582

Figure Lengend Snippet: Complete dose distribution at the junction region of the treatment planning in the cylindrical vial geometry obtained by post-processing at Matlab ® 2016 with a different color map than CERR. The upper scale shows the dose range from 0 to 2.11 Gy. ( A ) Sagittal plane view. ( B ) Coronal plane view. An indication of the z-coordinate orientation of the slices is also presented.

Article Snippet: The complete 3D dose distribution to be verified in the matching region was achieved by summing the presented dose-distribution data in 3D, using an in-house developed Matlab ® 2016 script (Mathworks Inc., Nattick, MA, USA).

Techniques:

4D image analysis and particle tracking in pyLattice. (A) pyLattice is a library of Python modules, Jupyter notebooks, and Matlab routines that operate together to form an image analysis pipeline. The pipeline steps are as follows (left to right): input of a two-channel 4D AO-LLSM data set (Cltr magenta, Dnm2 green), detection of diffraction-limited puncta, tracking puncta over time, matching each channel’s tracks to one another, processing and filtering the resulting set of tracks, and finally visualizing the data. (B) Implementation diagram of pyLattice. Python-based functionality is implemented for data pre- and postprocessing, filtering, quality control, plotting, and tracking. A Matlab wrapper has been created to incorporate llsmtools ( Aguet et al. , 2016 ) into the pipeline. 4D visualization is done using ChimeraX, for which pyLattice provides customized visualization input.

Journal: Molecular Biology of the Cell

Article Title: 4D cell biology: big data image analytics and lattice light-sheet imaging reveal dynamics of clathrin-mediated endocytosis in stem cell–derived intestinal organoids

doi: 10.1091/mbc.E18-06-0375

Figure Lengend Snippet: 4D image analysis and particle tracking in pyLattice. (A) pyLattice is a library of Python modules, Jupyter notebooks, and Matlab routines that operate together to form an image analysis pipeline. The pipeline steps are as follows (left to right): input of a two-channel 4D AO-LLSM data set (Cltr magenta, Dnm2 green), detection of diffraction-limited puncta, tracking puncta over time, matching each channel’s tracks to one another, processing and filtering the resulting set of tracks, and finally visualizing the data. (B) Implementation diagram of pyLattice. Python-based functionality is implemented for data pre- and postprocessing, filtering, quality control, plotting, and tracking. A Matlab wrapper has been created to incorporate llsmtools ( Aguet et al. , 2016 ) into the pipeline. 4D visualization is done using ChimeraX, for which pyLattice provides customized visualization input.

Article Snippet: pyLattice builds on llsmtools ( Aguet et al. , 2016 ), a Matlab toolbox that extends u-track ( Jaqaman et al. , 2008 ), to do tracking in the 3D context of LLSM data sets.

Techniques: Control