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  • 學位論文

影像應於於血球計數盤上的細胞計數

Automatic Cell Counting For Hemocytometers Through Image Processing

指導教授 : 江佩如
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摘要


近年來由於生醫科技與生物研究的興起,帶動了許多生物細胞相關的研究,在這些研究當中,常常需要培養細胞進行實驗,並得知懸浮液所含的活細胞與死細胞的濃度(cells/mL),雖然目前有些計數設備已被開發,但價格皆不便宜,而血球計數盤因為價錢便宜,於是被廣泛應用於實驗室當中,但缺點是需以人工的方式進行計數。本研究藉由影像處理技術針對血球計數盤上的細胞進行統計,以減少細胞計數所需要的時間花費,同時避免因計數者主觀差異所 造成的計數誤差。

並列摘要


Cell counting is usually done manually for in vitro cell culture using a hemocytometer. It is important that cell counts are accurate, consistent, and fast, particularly for quantitative measurements of cellular responses. Although some automated cell counting devices were developed, the prices are not favorable. In contrast, hemocytometer is inexpensive and commonly used in lab, but it is laborious and subject to user bias and misuse, which results in inaccurate counts. To mitigate the tedium associated with manual counting and reduce the user bias, we proposed to develop an automatic cell counting method for Hemocymeters by image processing.

參考文獻


[18] T. Huang, K. Lin, M. Li, C. Lu, “A novel segmentation method for overlapping cells”, Intelligent Control and Automation, v 2, pp 10486-10490, 2006
[5] ImageJ 官方網站
[6] J. Selinummi, J. Seppala,O. Yli-Harja, “Software for quantification of labeled bacteria from digital microscope images by automated image analysis”, Bio Techniques, v 39, n 6, pp 859-863, 2005
[7] N. N. Kachouie, L. F. Kang, A. Khademhosseini, “Arraycount an algorithm for automatic cell counting in microwell arrays”, Bio Techniques, v 47, n3, pp IX-XV, 2009
[8] C. Di Ruberto, A. Dempster, S. Khan, “Analysis of infected blood cell images using morphological operators”, Image and Vision Computing, v 20, n 2, pp 133-146, 2002

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