| 数字图像处理技术对隐孢子虫卵囊形态学参数的测定 |
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| 引用本文： | 邴玉艳,李岩,安春丽.数字图像处理技术对隐孢子虫卵囊形态学参数的测定[J].中国寄生虫学与寄生虫病杂志,2005,23(3):175-177. |
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| 作者姓名： | 邴玉艳 李岩 安春丽 |
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| 作者单位： | 中国医科大学病原生物学教研室,沈阳,110001 |
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| 基金项目： | 辽宁省教育厅资助项目(No.202013143)~~ |
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| 摘 要： | 目的 建立并分析小鼠隐孢子虫卵囊的形态学参数， 明确小鼠隐孢子虫卵囊的形态学变化特点。 方法 昆明株小鼠经地塞米松免疫抑制10 d后， 取粪便涂片、 改良抗酸染色法检测小鼠隐孢子虫卵囊。 应用摄像系统采集1 190个小鼠隐孢子虫卵囊的图像， 利用计算机数字图像分析系统测定卵囊的长径(L)、 横径(W)、 周长、 面积和等效直径。用SPSS数据处理软件（V11.0）分析测定各组数据， 计算其卵形指数。 结果 1 190个小鼠隐孢子虫卵囊长径均值为5.93 μm， 95%可信区间为3.31～8.51 μm； 卵囊横径的均值为4.96 μm， 95%可信区间为3.26～6.66 μm； 周长均值为18.03 μm； 面积的均值为16.08 μm2; 卵形指数(L/W)为1.19。 结论 利用计算机显微图像处理系统所获得的小鼠隐孢子虫卵囊形态学参数数据客观、 精确， 为量化及评价小鼠隐孢子虫卵囊的形态奠定了基础。
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| 关 键 词： | 小鼠隐孢子虫 卵囊 数字图像处理 形态学参数 |
| 文章编号： | 10000-7423(2005)-03-0175-03 |
| 修稿时间： | 2004年12月13 |
Measurement of Morphological Parameters of Cryptosporidium murisOocysts by Digital Image Processing Technology |
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| BING Yu-yan,LI Yan,AN Chun-li.Measurement of Morphological Parameters of Cryptosporidium murisOocysts by Digital Image Processing Technology[J].Chinese Journal of Parasitology and Parasitic Diseases,2005,23(3):175-177. |
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| Authors: | BING Yu-yan LI Yan AN Chun-li |
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| Affiliation: | Department of Pathogenic Biology, China Medical University, Shenyang 110001, China. |
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| Abstract: | OBJECTIVE: To establish and analyze the morphological parameters of the oocysts of Cryptosporidium muris for defining their morphological change. METHODS: Oocysts were collected from KM mice (immunodepressed by dexamethasone for 10 days) and examined with modified acid-fast staining. Images of 1 190 oocysts were acquired by photograph system. The length, width, perimeter, area and equivalent diameter of the oocysts were obtained by computer digital image processing system and analyzed by SPSS software (Version 11.0). RESULT: The average length of the oocysts was 5.93 microm, ranging from 3.36 microm to 8.51 microm in 95% confidence interval of them. The average width was 4.96 microm, ranging from 3.26 microm to 6.66 microm in 95% confidence interval of them. The average perimeter was 18.03 microm and the average area was 16.08 microm2. CONCLUSION: Data obtained from the computer system are objective and precise, offering scientific foundation for measuring the oocysts and for identifying Cryptosporidium spp. |
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| Keywords: | Cryptosporidium muris Oocyst Digital image processing Morphological parameter |
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