2013
DOI: 10.1038/srep02190
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Collagen morphology and texture analysis: from statistics to classification

Abstract: In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics (FOS) and second-order statistics such as gray level co-occurrence matrix (GLCM) was explored to extract second-harmonic generation (SHG) image features that are associated with the structural and biochemical changes of tissue collagen networks. Based on these extracted quantitative paramete… Show more

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Cited by 134 publications
(150 citation statements)
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“…Forty-two images from each gel were quantified, with six gels per condition. Skewness decreases as fibril organization increases (48). Box and whisker plots as in Fig.…”
Section: Fibroblasts Are Activated To Myofibroblasts By Tumor-associamentioning
confidence: 93%
See 1 more Smart Citation
“…Forty-two images from each gel were quantified, with six gels per condition. Skewness decreases as fibril organization increases (48). Box and whisker plots as in Fig.…”
Section: Fibroblasts Are Activated To Myofibroblasts By Tumor-associamentioning
confidence: 93%
“…Skewness is a measure of the imbalance of the distribution of a variable about its mean, in this case pixels that are darker or brighter than the image mean. Images with greater organization, such as those with large fibrils, exhibit a left-tailed shift in the distribution that is calculated as a negative shift in skewness (48). Both hydrogel types show a significant negative shift in skewness from day 0 to day 3, suggesting that the matrices are being organized by the embedded cells (Fig.…”
Section: Fibroblasts Are Activated To Myofibroblasts By Tumor-associamentioning
confidence: 96%
“…Then, the resulting magnitude of the SHG signal has quadratic dependence on the number of molecules and the intensity of the incident light. 18 The molecular nature of type I collagen enables SHG emission, and SHG microscopy has therefore become an elementary tool for type I collagen evaluation.…”
mentioning
confidence: 99%
“…Therefore, for each Harlick's feature, four different values and a total of 48 GLCM texture features are obtained. The formulas and a brief description of the Harlick's features with respect to the texture characterisation are presented in Table 1 [26,[30][31][32][33].…”
Section: Dissociation Object Model On Vois and Feature Extractionmentioning
confidence: 99%