RESUMO
This paper established the extracting method and algorithm for liposome images on the basis of analyzing the form feature of liposome, and its corresponding automatic analysis software. Some algorithms, such as the logical algorithms of mathematical morphology, the grayscale-gradient co-occurrence matrix-based method and the image enhancement method of grayscale image, were used to restrain the noise effectively and increase the definition of image. The result on bipolysaccharide liposome indicates that the method increases the measuring speed and precision.
Assuntos
Algoritmos , Aumento da Imagem/métodos , Lipossomos/química , Membranas Artificiais , Software , Temperatura Alta , Panax/química , Tamanho da Partícula , Reconhecimento Automatizado de Padrão , Polissacarídeos/química , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Esterilização/métodosRESUMO
AIM: To study the quality standard for Xingnaojing Injection (Moschus, Borneolum Syntheticum, Fructus Gardeniae, Radix Curcumae). METHODS: Two main components, muscone and bornel, were determined by HPLC and GC, respectively. RESULTS: The average recoveries were 98.3%( RSD was 0.41% , n=3 ) for muscone and 97.7%( RSD =0.54%, n=3 ) for borneol, respectively. CONCLUSION: The method is available with a good reproducibility and can control the quality of this preparation effectively.
