in-house matlab-based program formatit Search Results


90
MathWorks Inc in-house matlab-based program formatit
In House Matlab Based Program Formatit, 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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in-house matlab-based program formatit - by Bioz Stars, 2026-05
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90
MathWorks Inc formatit
Scheme for 2D pattern extraction. ( a ) The 3D models of enamel–dentine junction. The three-dimensional surface models derived from µCT data were visualized by an in-house program, <t>ForMATit,</t> developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )]. ( b ) Morphometric maps of the height from the cervical plane in UM and LM. ( c ) Binarized image at 50% of total height. White regions are above the threshold. Top and bottom panels show UM and LM, respectively. m mesial, d distal, b buccal, l lingual. ( d ) A dimensionless index calculated as area/squared perimeter is used to distinguish between stripe and spot patterns. Significant differences between UM and LM were detected (the number of samples, n = 10 for each of UM and LM; the probability of null hypothesis by Kruskal–Wallis test, p < 0.001) at 40–60% of the total height from the cervical plane. The mean and standard deviation at each threshold level are indicated with a polygonal line and whisker, respectively. The asterisk indicates the threshold at the 50% level where binarized images of ( d ) are derived. The black line indicates a constant in the case of circle (1/4π).
Formatit, 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/formatit/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
formatit - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Scheme for 2D pattern extraction. ( a ) The 3D models of enamel–dentine junction. The three-dimensional surface models derived from µCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )]. ( b ) Morphometric maps of the height from the cervical plane in UM and LM. ( c ) Binarized image at 50% of total height. White regions are above the threshold. Top and bottom panels show UM and LM, respectively. m mesial, d distal, b buccal, l lingual. ( d ) A dimensionless index calculated as area/squared perimeter is used to distinguish between stripe and spot patterns. Significant differences between UM and LM were detected (the number of samples, n = 10 for each of UM and LM; the probability of null hypothesis by Kruskal–Wallis test, p < 0.001) at 40–60% of the total height from the cervical plane. The mean and standard deviation at each threshold level are indicated with a polygonal line and whisker, respectively. The asterisk indicates the threshold at the 50% level where binarized images of ( d ) are derived. The black line indicates a constant in the case of circle (1/4π).

Journal: Scientific Reports

Article Title: Stripe and spot selection in cusp patterning of mammalian molar formation

doi: 10.1038/s41598-022-13539-w

Figure Lengend Snippet: Scheme for 2D pattern extraction. ( a ) The 3D models of enamel–dentine junction. The three-dimensional surface models derived from µCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )]. ( b ) Morphometric maps of the height from the cervical plane in UM and LM. ( c ) Binarized image at 50% of total height. White regions are above the threshold. Top and bottom panels show UM and LM, respectively. m mesial, d distal, b buccal, l lingual. ( d ) A dimensionless index calculated as area/squared perimeter is used to distinguish between stripe and spot patterns. Significant differences between UM and LM were detected (the number of samples, n = 10 for each of UM and LM; the probability of null hypothesis by Kruskal–Wallis test, p < 0.001) at 40–60% of the total height from the cervical plane. The mean and standard deviation at each threshold level are indicated with a polygonal line and whisker, respectively. The asterisk indicates the threshold at the 50% level where binarized images of ( d ) are derived. The black line indicates a constant in the case of circle (1/4π).

Article Snippet: The three-dimensional surface models derived from μCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )].

Techniques: Extraction, Derivative Assay, Standard Deviation, Whisker Assay

The proposed relationship between patterning and dietary habits. Tooth images of mammoth, moose, wolf, and leopard were obtained from MorphoSource.org (Media IDs: 8705, 8288, 7773, and 7779, respectively). The three-dimensional surface models derived from µCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )].

Journal: Scientific Reports

Article Title: Stripe and spot selection in cusp patterning of mammalian molar formation

doi: 10.1038/s41598-022-13539-w

Figure Lengend Snippet: The proposed relationship between patterning and dietary habits. Tooth images of mammoth, moose, wolf, and leopard were obtained from MorphoSource.org (Media IDs: 8705, 8288, 7773, and 7779, respectively). The three-dimensional surface models derived from µCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )].

Article Snippet: The three-dimensional surface models derived from μCT data were visualized by an in-house program, ForMATit, developed by N.M. [MATLAB-based (MathWorks, Version R2021b, https://www.mathworks.com/products/matlab.html )].

Techniques: Derivative Assay