matlab version 2013a Search Results


matlab version 2013a  (MathWorks Inc)
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Matlab Version 2013a, 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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version 2013a  (MathWorks Inc)
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Version 2013a, 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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covain  (MathWorks Inc)
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matlab 2013a  (MathWorks Inc)
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Matlab 2013a, 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 2013 a  (MathWorks Inc)
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Matlab 2013 A, 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-made matlab program  (MathWorks Inc)
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A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
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signal processing toolbox within matlab  (MathWorks Inc)
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A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
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algorithm implemented in matlab version r-2013a  (MathWorks Inc)
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MathWorks Inc algorithm implemented in matlab version r-2013a
A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
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matlab/simbiology version 2012b  (MathWorks Inc)
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A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
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matlab core product  (MathWorks Inc)
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A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
Matlab Core Product, 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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matrix (matlab) software  (MathWorks Inc)
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A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means <t>of</t> <t>Pearson</t> correlation analysis, <t>Bland–Altman</t> analysis (equine AC), and Pearson correlation analysis (equine and human AC).
Matrix (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
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Image Search Results


A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means of Pearson correlation analysis, Bland–Altman analysis (equine AC), and Pearson correlation analysis (equine and human AC).

Journal: Osteoarthritis and Cartilage

Article Title: Determining collagen distribution in articular cartilage using contrast-enhanced micro-computed tomography

doi: 10.1016/j.joca.2015.05.004

Figure Lengend Snippet: A. Staining protocol for equine AC. The horse samples ( n = 12 obtained from three animals) were labeled with PTA or PMA for 270 h. Micro-CT images were acquired at pre-defined time intervals (0, 18, 36, 54, 72, 90, 180, 270 h). B. Schematic for image analysis procedure. The images obtained with FTIRI or micro-CT were manually segmented for AC surface, tidemark, and AC-subchondral bone interface. The images were straightened by linear interpolation and were horizontally averaged to produce the depth-wise image intensity profile. The FTIRI image intensity represented collagen whereas the micro-CT image intensity with PTA or PMA marker was hypothesized to represent collagen. Depth-wise image intensities were compared by means of Pearson correlation analysis, Bland–Altman analysis (equine AC), and Pearson correlation analysis (equine and human AC).

Article Snippet: These obtained profiles were compared by Pearson correlation and Bland–Altman analyses (custom-made Matlab program; Matlab 2013a, version 8.1.0.604, MathWorks Inc., Natick, MA, USA) in the horse samples to determine the time required to label the collagen.

Techniques: Staining, Labeling, Micro-CT, Marker

Bland–Altman comparison of normalized image intensity profiles obtained with micro-CT or FTIRI in horse samples. The left and right column represents data obtained following PTA (A–D) or PMA (E–H) at immersion time points 18, 36, 54 and 72 h. Best correspondence, i.e., smallest difference, between micro-CT and FTIRI profiles were obtained following PTA labeling for 36 or 54 h. The color codes in the legend represent the relative depth of data points from the AC surface. Color coding revealed that the micro-CT vs FTIRI profiles differed most at superficial AC.

Journal: Osteoarthritis and Cartilage

Article Title: Determining collagen distribution in articular cartilage using contrast-enhanced micro-computed tomography

doi: 10.1016/j.joca.2015.05.004

Figure Lengend Snippet: Bland–Altman comparison of normalized image intensity profiles obtained with micro-CT or FTIRI in horse samples. The left and right column represents data obtained following PTA (A–D) or PMA (E–H) at immersion time points 18, 36, 54 and 72 h. Best correspondence, i.e., smallest difference, between micro-CT and FTIRI profiles were obtained following PTA labeling for 36 or 54 h. The color codes in the legend represent the relative depth of data points from the AC surface. Color coding revealed that the micro-CT vs FTIRI profiles differed most at superficial AC.

Article Snippet: These obtained profiles were compared by Pearson correlation and Bland–Altman analyses (custom-made Matlab program; Matlab 2013a, version 8.1.0.604, MathWorks Inc., Natick, MA, USA) in the horse samples to determine the time required to label the collagen.

Techniques: Micro-CT, Labeling