Fluorescent signal detection of chromatographic chip by algorithms of pyramid connection and Gaussian mixture model / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 83-86, 2011.
Article
in Chinese
| WPRIM
| ID: wpr-330514
ABSTRACT
We proposed a new algorithm for automatic identification of fluorescent signal. Based on the features of chromatographic chips, mathematic morphology in RGB color space was used to filter and enhance the images, pyramid connection was used to segment the areas of fluorescent signal, and then the method of Gaussian Mixture Model was used to detect the fluorescent signal. Finally we calculated the average fluorescent intensity in obtained fluorescent areas. Our results show that the algorithm has a good efficacy to segment the fluorescent areas, can detect the fluorescent signal quickly and accurately, and finally realize the quantitative detection of fluorescent signal in chromatographic chip.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Chromatography
/
Fluorescent Antibody Technique
/
Methods
Type of study:
Diagnostic study
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2011
Type:
Article
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