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332 results about "Collection sample" patented technology

Building method for rhubarb medicinal material trueness/falseness and species prediction model

The invention provides a building method for a rhubarb medicinal material trueness/falseness and species prediction model. According to the model, category identification of quality rhubarb, fake rhubarb and three rhubarb species is realized on the basis of a gas chromatography-mass spectrum technology in combination with partial least square discriminant analysis. The building method comprises the following steps: (1) collecting samples; (2) preparing the samples; (3) acquiring GC-MS data; (4) performing data processing and multivariate analysis, wherein cluster analysis and principal component analysis are performed by comparing the differences of chromatographic behaviors of rhubarb of different sources; (5) building the prediction model; and (6) verifying the model. Two built category prediction models are proved to have 100 percent identification accuracy and prediction accuracy. Through adoption of the method, trueness/falseness and species identification of rhubarb are realized by modeling, so that a reliable conclusion and high integrity are achieved; the defects of an existing method are overcome; and a more feasible and reliable new thought is provided for the trueness/falseness and species identification of rhubarb medicinal materials and decoction pieces.
Owner:青岛市食品药品检验研究院

Device and Method for Erythrocyte Morphology Analysis

The disclosure provides a device and a method for performing morphological analysis for erythrocytes, wherein the method for performing morphological analysis for erythrocytes comprises: collecting a morphological image of each of cells in a sample through a Charge Coupled Device (CCD) after amplifying the sample through an automatic microscope; segmenting and positioning the image and extracting target feature parameters after digitizing the image through an image-digital converter; isolating morphological feature parameters of each of the erythrocytes through a classifier established on the basis of the neural network, and normalizing each type of the morphological feature parameters of the erythrocytes through a feature fusion device established on the basis of fuzzy clustering; performing a statistical analysis on each type of normalized parameters obtained or performing a comprehensive statistical analysis according to a plurality of types of parameters, and expressing the result of the statistical analysis or the comprehensive statistical analysis in the form of graph or numerical table, thereby judging whether the morphology of the erythrocyte is normal. The source and property of the erythrocytes can be identified according to the detection for each type of the erythrocytes with the abnormal morphology.
Owner:CHANGSHA HIGH TECH IND DEV ZONE AVE SCI & TECH IND CO LTD
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