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Automatic quantitative analysis of images of liposome and emulsion

  • Hai Tao Xiong*
  • , Kuang Hu Hu
  • , Wan Fang Su
  • , Shu Yu Li
  • , De Sen Su
  • , Xue Qiu Gu
  • *Corresponding author for this work
  • CAS - Institute of Biophysics
  • Shenyang Pharmaceutical University

Research output: Contribution to journalArticlepeer-review

Abstract

AIM: Automatic measuring and quantitative analysis of form feature parameter of the liposome and emulsion image. METHODS: On the basis of analyzing the form feature of liposome, some algorithms, such as the logical algorithms of mathematical morphologic, the grayscale-gradient co-occurrence matrix-based method and the image enhancement method of grayscale image, were used to construct the parameter of extracting method and software. RESULTS: The noise is restrained effectively and the definition of image increases, implementing the automatic measuring of particle parameters. CONCLUSION: The analytical result of bipolysaccharide liposome and some emulsions indicate that the method can definitely increase the speed and precision of the measurement.

Original languageEnglish
Pages (from-to)609-612
Number of pages4
JournalYaoxue Xuebao
Volume35
Issue number8
StatePublished - Aug 2000
Externally publishedYes

Keywords

  • Form feature extraction
  • Grayscale-gradient method and image enhancement
  • Liposome
  • Mathematical morphologic

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