Automatic quantitative analysis of bipolysaccharide liposome by image processing method.
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.
Institute of Biophysics Academy Sinica, Beijing, 100101, China.
Xiong
X
Haitao
Hu
H
Kuanghu
Su
S
Wanfang
Li
L
Shuyu
Su
S
Desen
D000465:Algorithms; D006358:Hot Temperature; D007089:Image Enhancement / Q000379:methods*; D008081:Liposomes / Q000737:chemistry*; D008567:Membranes, Artificial; D005894:Panax / Q000737:chemistry; D010316:Particle Size; D010363:Pattern Recognition, Automated; D011134:Polysaccharides / Q000737:chemistry; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D013242:Sterilization / Q000379:methods
D008081:Liposomes; D008567:Membranes, Artificial; D011134:Polysaccharides