上海交通大学学报（英文版） ›› 2012, Vol. 17 ›› Issue (6): 755-760.doi: 10.1007/s12204-012-1359-9

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Recognition of Red Cell and Megakaryocyte Based L-Shaped Envelope Function

YU Ye-hua1 (俞夜花), ZHENG Xi-tao2 (郑西涛), ZHANG Yong-wei2 (张永伟),YANG Kun2 (杨 堃), ZHANG Jing1 (章菁), SHI Jun1* (石军)   

  1. (1. Department of Hematology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200233, China; 2. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)
  • 出版日期:2012-12-31 发布日期:2012-12-30
  • 通讯作者: SHI Jun1* (石军) E-mail:shijun7@hotmail.com

Recognition of Red Cell and Megakaryocyte Based L-Shaped Envelope Function

YU Ye-hua1 (俞夜花), ZHENG Xi-tao2 (郑西涛), ZHANG Yong-wei2 (张永伟),YANG Kun2 (杨 堃), ZHANG Jing1 (章菁), SHI Jun1* (石军)   

  1. (1. Department of Hematology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200233, China; 2. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China)
  • Online:2012-12-31 Published:2012-12-30
  • Contact: SHI Jun1* (石军) E-mail:shijun7@hotmail.com

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摘要： In order to explore the cell composition and its metabolism, it is important to let computer recognize the cells and get the counts of different cells for a sample. This paper proposes an L-shaped envelop function and the related fuzzy clustering method as a way to identify the megakaryocyte and the red cell from the sliced marrow image. This method is useful when the staining is insufficient and the color cannot be used as the identifying factor. This method uses the experimental histogram data to fit the L-shaped function and then use it as the envelop for the match test. The fuzzy c-means (FCM) performance index is used to test the adjacent area and get the minimum and finally secure the identification. The new method is not limited to megakaryocyte or red cell and can be used for general purposes of cell recognition. Tests show that this envelop function can ensure the recognition rate with different staining batches and can reach satisfied counting under similar illumination condition.

关键词: L-shaped envelop function, marrow cell, pattern recognition, cell counting

Abstract: In order to explore the cell composition and its metabolism, it is important to let computer recognize the cells and get the counts of different cells for a sample. This paper proposes an L-shaped envelop function and the related fuzzy clustering method as a way to identify the megakaryocyte and the red cell from the sliced marrow image. This method is useful when the staining is insufficient and the color cannot be used as the identifying factor. This method uses the experimental histogram data to fit the L-shaped function and then use it as the envelop for the match test. The fuzzy c-means (FCM) performance index is used to test the adjacent area and get the minimum and finally secure the identification. The new method is not limited to megakaryocyte or red cell and can be used for general purposes of cell recognition. Tests show that this envelop function can ensure the recognition rate with different staining batches and can reach satisfied counting under similar illumination condition.

Key words: L-shaped envelop function, marrow cell, pattern recognition, cell counting

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