| 摘要 |
Embodiments described herein provide methods of analysis of a reaction, such as an agglutination reaction producing an agglutination pattern, and the like. In one method, an image of the agglutination pattern is captured. The image captured is digitized to form a digital image comprising a pixel. Roughness is measured, reflecting pixel local environment, at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the measured roughness. In another embodiment, roughness is derived using a shared weights neural network approach, the roughness reflecting pixel local environment at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the derived roughness. In a further embodiment, a feature is derived using a shared weights neural network approach, the feature reflecting pixel local environment at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the derived feature.
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